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IEEE Transactions on Neural Networks, Volume 12

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> Home > Journals > IEEE Transactions on Neural Networks

Volume 12, Number 1, January 2001

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Robert J. Schilling, James J. Carroll, Ahmad F. Al-Ajlouni:
Approximation of nonlinear systems with radial basis function neural networks. 1-15
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  - journals/tnn/RuizL01
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Alberto Ruiz, Pedro E. López-de-Teruel:
Nonlinear kernel-based statistical pattern analysis. 16-32
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  - journals/tnn/Lamego01
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Marcelo M. Lamego:
Adaptive structures with algebraic loops. 33-42
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  - journals/tnn/GanH01
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Qiang Gan, Chris J. Harris:
A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. 43-53
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  - journals/tnn/SunSW01
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Fuchun Sun, Zengqi Sun, Peng-Yung Woo:
Neural network-based adaptive controller design of robotic manipulators with an observer. 54-67
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  - journals/tnn/LinWH01
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Faa-Jeng Lin, Rong-Jong Wai, Chun-Ming Hong:
Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs. 68-90
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  - journals/tnn/HoyaC01
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Tetsuya Hoya, Jonathon A. Chambers:
Heuristic pattern correction scheme using adaptively trained generalized regression neural networks. 91-100
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  - journals/tnn/RahmanHF01
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Ahmad Fuad Rezaur Rahman, W. Gareth J. Howells, Michael C. Fairhurst:
A multiexpert framework for character recognition: a novel application of Clifford networks. 101-112
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Yoshua Bengio, Vincent-Philippe Lauzon, Réjean Ducharme:
Experiments on the application of IOHMMs to model financial returns series. 113-123
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Ying Tan, Jun Wang, Jacek M. Zurada:
Nonlinear blind source separation using a radial basis function network. 124-134
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  - journals/tnn/Bouchard01
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Martin Bouchard:
New recursive-least-squares algorithms for nonlinear active control of sound and vibration using neural networks. 135-147
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Daouren Akhmetov, Yasuhiko Dote, Seppo J. Ovaska:
Fuzzy neural network with general parameter adaptation for modeling of nonlinear time-series. 148-152
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Mu-Chun Su, Hsiao-Te Chang:
A new model of self-organizing neural networks and its application in data projection. 153-158
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Tianping Chen, Shun-ichi Amari:
Stability of asymmetric Hopfield networks. 159-163
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Bin Tian, Mahmood R. Azimi-Sadjadi:
Comparison of two different PNN training approaches for satellite cloud data classification. 164-168
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Jooyoung Park, Cheol-Hee Kwon, Daihee Park:
An optimization-based design procedure for asymmetric bidirectional associative memories. 169-170
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Deng Jianping, N. Sundararajan, P. Saratchandran:
Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN). 171-174
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Katheryn Margaret Adeney, Michael J. Korenberg:
On the use of separable Volterra networks to model discrete-time Volterra systems. 174-175

Volume 12, Number 2, March 2001

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Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf:
An introduction to kernel-based learning algorithms. 181-201
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Jiann-Ming Wu, Shih-Jang Chiu:
Independent component analysis using Potts models. 202-211
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Alioune Ngom, Ivan Stojmenovic, Veljko Milutinovic:
STRIP - a strip-based neural-network growth algorithm for learning multiple-valued functions. 212-227
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Giuseppe De Nicolao, Giancarlo Ferrari-Trecate:
Regularization networks: fast weight calculation via Kalman filtering. 228-235
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Boris Igelnik, Massood Tabib-Azar, Steven R. LeClair:
A net with complex weights. 236-249
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Hsin-Chia Fu, Yen-Po Lee, Cheng-Chin Chiang, Hsiao-Tien Pao:
Divide-and-conquer learning and modular perceptron networks. 250-263
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Jennie Si, Yu-Tsung Wang:
Online learning control by association and reinforcement. 264-276
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Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabczewski:
A new methodology of extraction, optimization and application of crisp and fuzzy logical rules. 277-306
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  - journals/tnn/MoonK01
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Sang-Woo Moon, Seong-Gon Kong:
Block-based neural networks. 307-317
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  - journals/tnn/FortunaMX01
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Luigi Fortuna, Giovanni Muscato, Maria Gabriella Xibilia:
A comparison between HMLP and HRBF for attitude control. 318-328
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Gloria Galán Marín, José Muñoz-Pérez:
Design and analysis of maximum Hopfield networks. 329-339
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Chi-Kwong Chan, Lee-Ming Cheng:
The convergence properties of a clipped Hopfield network and its application in the design of keystream generator. 340-348
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Xue-Bin Liang, Jennie Si:
Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem. 349-359
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Hong Qiao, Jigen Peng, Zongben Xu:
Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks. 360-370
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Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
K-winner machines for pattern classification. 371-385
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Christoph Rasche, Rodney J. Douglas:
Forward- and backpropagation in a silicon dendrite. 386-393
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Erdogan Çesmeli, DeLiang L. Wang:
Texture segmentation using Gaussian-Markov random fields and neural oscillator networks. 394-404
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Hujun Yin, Nigel M. Allinson:
Self-organizing mixture networks for probability density estimation. 405-411
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Wen Yu, Xiaoou Li:
Some new results on system identification with dynamic neural networks. 412-417
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Qing Tao, Tingjian Fang, Hong Qiao:
A novel continuous-time neural network for realizing associative memory. 418-423
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Sabeur Abid, Farhat Fnaiech, Mohamed Najim:
A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm. 424-430
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Jim Y. F. Yam, Tommy W. S. Chow:
Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients. 430-434
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Xia Hong, Chris J. Harris:
Nonlinear model structure detection using optimum experimental design and orthogonal least squares. 435-439
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Donq-Liang Lee:
Improving the capacity of complex-valued neural networks with a modified gradient descent learning rule. 439-443
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  - journals/tnn/AdeneyK01a
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Katheryn Margaret Adeney, Michael J. Korenberg:
Errata to "on the use of separable volterra networks to model discrete-time volterra systems". 443
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  - journals/tnn/AkhmetovDO01a
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Daouren Akhmetov, Yasuhiko Dote, Seppo J. Ovaska:
Errata to "fuzzy-neural network with general parameter adaptation for modeling of nonlinear time-series". 443

Volume 12, Number 3, May 2001

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Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal:
On the structure of strict sense Bayesian cost functions and its applications. 445-455
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  - journals/tnn/Matsuda01
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Satoshi Matsuda:
Theoretical limitations of a Hopfield network for crossbar switching. 456-462
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Ronald G. Spencer:
Bipolar spectral associative memories. 463-474
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Marco Russo:
Distributed fuzzy learning using the MULTISOFT machine. 475-484
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  - journals/tnn/BagliettoPZ01
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Marco Baglietto, Thomas Parisini, Riccardo Zoppoli:
Distributed-information neural control: the case of dynamic routing in traffic networks. 485-502
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Stergios Papadimitriou, Seferina Mavroudi, Liviu Vladutu, Anastasios Bezerianos:
Ischemia detection with a self-organizing map supplemented by supervised learning. 503-515
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Hau-San Wong, Ling Guan:
A neural learning approach for adaptive image restoration using a fuzzy model-based network architecture. 516-531
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  - journals/tnn/ZerguineSB01
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Azzedine Zerguine, Ahmer Shafi, Maamar Bettayeb:
Multilayer perceptron-based DFE with lattice structure. 532-545
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Teong Chee Chuah, Bayan S. Sharif, Oliver R. Hinton:
Robust adaptive spread-spectrum receiver with neural net preprocessing in non-Gaussian noise. 546-558
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  - journals/tnn/VlassisM01
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Nikos A. Vlassis, Yoichi Motomura:
Efficient source adaptivity in independent component analysis. 559-566
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Xiao-Ping Zhang:
Thresholding neural network for adaptive noise reduction. 567-584
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  - journals/tnn/MladenovM01
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Valeri Mladenov, Nikos E. Mastorakis:
Design of two-dimensional recursive filters by using neural networks. 585-590
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  - journals/tnn/WangH01
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Dan Wang, Jie Huang:
A neural network-based approximation method for discrete-time nonlinear servomechanism problem. 591-597
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  - journals/tnn/JanH01
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Jiun-Chi Jan, Shih-Lin Hung:
High-order MS CMAC neural network. 598-603
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Sheng Chen, Ahmad K. Samingan, Lajos Hanzo:
Support vector machine multiuser receiver for DS-CDMA signals in multipath channels. 604-611
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Andrew D. Back, Thomas P. Trappenberg:
Selecting inputs for modeling using normalized higher order statistics and independent component analysis. 612-617
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  - journals/tnn/MathisHJ01
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Heinz Mathis, Thomas P. von Hoff, Marcel Joho:
Blind separation of signals with mixed kurtosis signs using threshold activation functions. 618-624
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Peter F. McGuire, Gabriele M. T. D'Eleuterio:
Eigenpaxels and a neural-network approach to image classification. 625-635
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Xue-Bin Liang:
A complete proof of global exponential convergence of a neural network for quadratic optimization with bound constraints. 636-639
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  - journals/tnn/Deolalikar01
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Vinay Deolalikar:
Mapping Boolean functions with neural networks having binary weights and zero thresholds. 639-642
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Irwin W. Sandberg:
Comments on "Classification ability of single hidden layer feedforward neural networks". 642-643
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  - journals/tnn/ChenKKH01
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K. Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence [Book Review]. 644-647
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K. Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Multi-Valued and Universal Binary Neurons: Theory, Learning, and Applications [Book Review]. 647
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K. Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Feedforward Neural Network Methodology. 647-648
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K. Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin:
Neural and Adaptive Systems: Fundamentals Through Simulations. 648-649

Volume 12, Number 4, July 2001

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Yaser S. Abu-Mostafa, Amir F. Atiya, Malik Magdon-Ismail, Halbert L. White:
Introduction to the special issue on neural networks in financial engineering. 653-656
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Halbert L. White, Jeffrey S. Racine:
Statistical inference, the bootstrap, and neural-network modeling with application to foreign exchange rates. 657-673
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Xiaohong Chen, Jeffrey S. Racine, Norman R. Swanson:
Semiparametric ARX neural-network models with an application to forecasting inflation. 674-683
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Malik Magdon-Ismail:
The equivalent martingale measure: an introduction to pricing using expectations. 684-693
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John N. Tsitsiklis, Benjamin Van Roy:
Regression methods for pricing complex American-style options. 694-703
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Christian Keber, Matthias G. Schuster:
Evolutionary computation and the vega risk of American put options. 704-715
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  - journals/tnn/SchittenkopfD01
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Christian Schittenkopf, Georg Dorffner:
Risk-neutral density extraction from option prices: improved pricing with mixture density networks. 716-725
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  - journals/tnn/GencayQ01
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Ramazan Gencay, Min Qi:
Pricing and hedging derivative securities with neural networks: Bayesian regularization, early stopping, and bagging. 726-734
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Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Multi-agent modeling of multiple FX-markets by neural networks. 735-743
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Michael A. H. Dempster, Tom W. Payne, Yazann S. Romahi, Giles W. P. Thompson:
Computational learning techniques for intraday FX trading using popular technical indicators. 744-754
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Marcelo C. Medeiros, Alvaro Veiga, Carlos Eduardo Pedreira:
Modeling exchange rates: smooth transitions, neural networks, and linear models. 755-764
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Bailing Zhang, Richard Coggins, Marwan A. Jabri, Dominik R. Dersch, Barry Flower:
Multiresolution forecasting for futures trading using wavelet decompositions. 765-775
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Lester Ingber, Radu Paul Mondescu:
Optimization of trading physics models of markets. 776-790
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  - journals/tnn/Abu-Mostafa01
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Yaser S. Abu-Mostafa:
Financial model calibration using consistency hints. 791-808
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  - journals/tnn/GestelSBLLVMV01
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Tony Van Gestel, Johan A. K. Suykens, Dirk-Emma Baestaens, Annemie Lambrechts, Gert R. G. Lanckriet, Bruno Vandaele, Bart De Moor, Joos Vandewalle:
Financial time series prediction using least squares support vector machines within the evidence framework. 809-821
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  - journals/tnn/Xu01
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Lei Xu:
BYY harmony learning, independent state space, and generalized APT financial analyses. 822-849
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Apostolos-Paul Nicholas Refenes, Will T. Holt:
Forecasting volatility with neural regression: A contribution to model adequacy. 850-864
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Peter Tiño, Christian Schittenkopf, Georg Dorffner:
Financial volatility trading using recurrent neural networks. 865-874
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John E. Moody, Matthew Saffell:
Learning to trade via direct reinforcement. 875-889
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  - journals/tnn/ChapadosB01
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Nicolas Chapados, Yoshua Bengio:
Cost functions and model combination for VaR-based asset allocation using neural networks. 890-906
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Vasant Dhar, Dashin Chou:
A comparison of nonlinear methods for predicting earnings surprises and returns. 907-921
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Ngai Hang Chan, Christopher R. Genovese:
A comparison of linear and nonlinear statistical techniques in performance attribution. 922-928
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Amir F. Atiya:
Bankruptcy prediction for credit risk using neural networks: A survey and new results. 929-935
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  - journals/tnn/KaskiSP01
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Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen:
Bankruptcy analysis with self-organizing maps in learning metrics. 936-947

Volume 12, Number 5, September 2001

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Monica Bianchini, Marco Gori:
Theoretical properties of recursive neural networks with linear neurons. 953-967
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  - journals/tnn/Bayro-Corrochano01
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Eduardo Jose Bayro-Corrochano:
Geometric neural computing. 968-986
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  - journals/tnn/TitsiasL01
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Michalis K. Titsias, Aristidis Likas:
Shared kernel models for class conditional density estimation. 987-997
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  - journals/tnn/PillaKL01
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Ramani S. Pilla, Sagar V. Kamarthi, Bruce G. Lindsay:
Aitken-based acceleration methods for assessing convergence of multilayer neural networks. 998-1012
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Ka Fai Cedric Yiu, Song Wang, Kok Lay Teo, Ah Chung Tsoi:
Nonlinear system modeling via knot-optimizing B-spline networks. 1013-1022
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Dimitrios Charalampidis, Takis Kasparis, Michael Georgiopoulos:
Classification of noisy signals using fuzzy ARTMAP neural networks. 1023-1036
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  - journals/tnn/WeaverBP01
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Scott Weaver, Leemon C. Baird III, Marios M. Polycarpou:
Using localizing learning to improve supervised learning algorithms. 1037-1046
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  - journals/tnn/Navia-VazquezPAF01
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Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. 1047-1059
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  - journals/tnn/JiaoPF01
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Licheng Jiao, Jin Pan, Yangwang Fang:
Multiwavelet neural network and its approximation properties. 1060-1066
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  - journals/tnn/AraujoRR01
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Filipe Araújo, Bernardete Ribeiro, Luís E. T. Rodrigues:
A neural network for shortest path computation. 1067-1073
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  - journals/tnn/LeungCJGL01
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Yee Leung, Kai-zhou Chen, Yong-Chang Jiao, Xing-Bao Gao, Kwong-Sak Leung:
A new gradient-based neural network for solving linear and quadratic programming problems. 1074-1083
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  - journals/tnn/ChenW01
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Ke Chen, DeLiang Wang:
Perceiving geometric patterns: from spirals to inside-outside relations. 1084-1102
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Jin Young Choi, Jay A. Farrell:
Adaptive observer backstepping control using neural networks. 1103-1112
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  - journals/tnn/Jagannathan01
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Sarangapani Jagannathan:
Control of a class of nonlinear discrete-time systems using multilayer neural networks. 1113-1120
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Sheng Lin, Andrew A. Goldenberg:
Neural-network control of mobile manipulators. 1121-1133
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  - journals/tnn/ParkW01
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Dong-Chul Park, Young-June Woo:
Weighted centroid neural network for edge preserving image compression. 1134-1146
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Natalija Vlajic, Howard C. Card:
Vector quantization of images using modified adaptive resonance algorithm for hierarchical clustering. 1147-1162
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Henry Leung, Titus K. Y. Lo, Sichun Wang:
Prediction of noisy chaotic time series using an optimal radial basis function neural network. 1163-1172
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Xin Jin, Dipti Srinivasan, Ruey Long Cheu:
Classification of freeway traffic patterns for incident detection using constructive probabilistic neural networks. 1173-1187
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  - journals/tnn/Fontenla-RomeroAG01
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Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Adaptive pattern recognition in the analysis of cardiotocographic records. 1188-1195
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Mahmood R. Azimi-Sadjadi, Wenfeng Gao, Thomas H. Vonder Haar, Donald L. Reinke:
Temporal updating scheme for probabilistic neural network with application to satellite cloud classification - further results. 1196-1203
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Siu-Yeung Cho, Tommy W. S. Chow:
Neural computation approach for developing a 3D shape reconstruction model. 1204-1214
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  - journals/tnn/FengBZ01
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Da-Zheng Feng, Zheng Bao, Xian-Da Zhang:
A cross-associative neural network for SVD of non-squared data matrix in signal processing. 1215-1221
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  - journals/tnn/Lenze01
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Burkhard Lenze:
Improving Leung's bidirectional learning rule for associative memories. 1222-1226
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  - journals/tnn/GentileS01
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Camillo Gentile, Mario Sznaier:
An improved Voronoi-diagram-based neural net for pattern classification. 1227-1234
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  - journals/tnn/LamparielloS01
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Francesco Lampariello, Marco Sciandrone:
Efficient training of RBF neural networks for pattern recognition. 1235-1242
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  - journals/tnn/MunehisaKY01
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Tomo Munehisa, Masaki Kobayashi, Haruaki Yamazaki:
Cooperative updating in the Hopfield model. 1243-1251
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  - journals/tnn/BotterNY01
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Eduardo de Azevedo Botter, Cairo L. Nascimento Jr., Takashi Yoneyama:
A neural network with asymmetric basis functions for feature extraction of ECG P waves. 1252-1255
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  - journals/tnn/FengW01
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Jianfeng Feng, Peter Williams:
The generalization error of the symmetric and scaled support vector machines. 1255-1260
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  - journals/tnn/Lee01a
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Donq-Liang Lee:
Relaxation of the stability condition of the complex-valued neural networks. 1260-1262
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  - journals/tnn/Chen01
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Tianping Chen:
Some queries on "Comments on 'Approximation capability in C(R¯ⁿ) by multilayer feedforward networks and related problems'". 1262-1263

Volume 12, Number 6, November 2001

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  - journals/tnn/NishiyamaS01
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K. Nishiyama, K. Suzuki:
H_∞-learning of layered neural networks. 1265-1277
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  - journals/tnn/PapadopoulosEM01
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Georgios Papadopoulos, Peter J. Edwards, Alan F. Murray:
Confidence estimation methods for neural networks: a practical comparison. 1278-1287
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  - journals/tnn/Lin01
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Chih-Jen Lin:
On the convergence of the decomposition method for support vector machines. 1288-1298
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  - journals/tnn/Heskes01
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Tom Heskes:
Self-organizing maps, vector quantization, and mixture modeling. 1299-1305
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  - journals/tnn/FrancoC01
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Leonardo Franco, Sergio A. Cannas:
Generalization properties of modular networks: implementing the parity function. 1306-1313
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Chi-Sing Leung, Ah Chung Tsoi, Lai-Wan Chan:
Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks. 1314-1332
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