International Journal of Neural Systems, Volume 13

Volume 13, Number 1, February 2003

• George Tambouratzis, Nikolaos Hairetakis, Stella Markantonatou, George Carayannis:
  Applying the SOM Model to Text Classification According to Register and Stylistic Content. 1-11
  
• Ranadhir Ghosh, Brijesh Verma:
  A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning. 13-24
  
• Andrew Chi-Sing Leung, Ping-Man Lam:
  A Local Training-Pruning Approach for Recurrent Neural Networks. 25-38
  
• Amer Al-Nassiri:
  Text Compression Using Hybrids of BWT and GBAM. 39-45
  
• Anke Meyer-Bäse, Sergei S. Pilyugin:
  Global Asymptotic Stability of a Class of Dynamical Neural Networks. 47-53
  

Volume 13, Number 2, April 2003

• Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto:
  Introduction by Guest Editors. 55-57
  
• Frederico Carvalho Vieira, Adrião Duarte Dória Neto, José Alfredo F. Costa:
  An Efficient Approach to the Travelling Salesman Problem Using Self-Organizing Maps. 59-66
  
• Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells:
  Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System. 67-76
  
• Akio Yamazaki, Teresa Bernarda Ludermir:
  Neural Network Training with Global Optimization Techniques. 77-86
  
• Allan Kardec Barros, Andrzej Cichocki, Noboru Ohnishi:
  Wavelet-Like Receptive Fields Emerges by Non-Linear Minimization of Neuron Error. 87-91
  
• Ernesto Burattini, Antonio de Francesco, Massimo De Gregorio:
  NSL: A Neuro-Symbolic Language for a Neuro-Symbolic Processor (NSP). 93-101
  
• María I. Széliga, Pablo F. Verdes, Pablo M. Granitto, H. Alejandro Ceccatto:
  Artificial Neural Network Learning of Nonstationary Behavior in Time Series. 103-109
  
• Jairo Diniz Filho, Teresa Bernarda Ludermir:
  Modeling a Particular Decision Process by Using a Modulatory Activation Function. 111-118
  
• Antonio C. Padoan Jr., Guilherme De A. Barreto, Aluizio F. R. Araújo:
  Modeling and Production of Robot Trajectories Using the Temporal Parametrized Self Organizing Maps. 119-127
  
• Liang Zhao, Rogerio A. Furukawa, André Carlos Ponce Leon Ferreira de Carvalho:
  A Network of Coupled Chaotic Maps for Adaptive Multi-Scale Image Segmentation. 129-137
  

Volume 13, Number 3, June 2003

• Cheolhwan Oh, Stanislaw H. Zak:
  Associative Memory Design Using Overlapping Decomposition and Generalized Brain-State-in-a-Box Neural Networks. 139-153
  
• Simone Fiori:
  Singular Value Decomposition Learning on Double Stiefel Manifold. 155-170
  
• Xiaofeng Liao, Jun Wang, Jinde Cao:
  Global and Robust Stability of Interval Hopfield Neural Networks with Time-Varying Delays. 171-182
  
• András Lörincz, Barnabás Póczos:
  Cost Component Analysis. 183-192
  
• Wenlian Lu, Libin Rong, Tianping Chen:
  Global Convergence of Delayed Neural Network Systems. 193-204
  
• Jinwen Ma:
  A Hybrid Neural Network of Addressable and Content-Addressable Memory. 205-213
  

Volume 13, Number 4, August 2003

• Marko Jankovic, Hidemitsu Ogawa:
  A New Modulated Hebbian Learning Rule - Biologically Plausible Method for Local Computation of a Principal Subspace. 215-223
  
• Raida Al-Alawi:
  FPGA Implementation of a Pyramidal Weightless Neural Networks Learning System. 225-237
  
• Frank Ekpar, Masaaki Yoneda, Hiroyuki Hase:
  Correcting Distortions in Panoramic Images Using Constructive Neural Networks. 239-250
  
• Supeng Leng, Krishnappa R. Subramanian, Narasimhan Sundararajan, Paramasivan Saratchandran:
  Novel Neutral Network Approach to Call Admission Control in High-speed Networks. 251-262
  
• B. Poorna, K. S. Easwarakumar:
  Fingerprint Matching Using Recurrent Autoassociative Memory. 263-271
  

Volume 13, Number 5, October 2003

• Simone Fiori, Roberto Rossi:
  Stiefel-Manifold Learning by Improved Rigid-Body Theory Applied to ICA. 273-290
  
• Geok See Ng, Abdul Wahab, Daming Shi:
  Entropy Learning and Relevance Criteria for Neural Network Pruning. 291-305
  
• Andreas Weingessel, Kurt Hornik:
  A Robust Subspace Algorithm for Principal Component Analysis. 307-313
  
• A. Ifantis, Stergios Papadimitriou:
  The Nonlinear Predictability of the Electrotelluric Field Variations Data Analyzed with Support Vector Machines as an Earthquake Precursor. 315-332
  
• Di Wang, Narendra S. Chaudhari:
  Binary Neural Network Training Algorithms Based on Linear Sequential Learning. 333-351
  
• Zheng Wu, Gary G. Yen:
  A Som Projection Technique with the Growing Structure for Visualizing High-Dimensional Data. 353-365
  
• Jinde Cao, Jun Wang, Xiaofeng Liao:
  Novel Stability Criteria for Delayed Cellular Neural Networks. 367-375
  

Volume 13, Number 6, December 2003

• Fernando Corinto, Marco Gilli:
  On Stability of Cellular Neural Networks with Polynomial Interactions. 379-385
  
• Wolfgang Porod, György Csaba, Árpád Csurgay:
  The Role of Field Coupling in Nano-Scale Cellular Nonlinear Networks. 387-395
  
• Zbigniew Galias, Maciej Ogorzalek:
  Influence of System Non-Uniformity on Dynamic Phenomena in Arrays of Coupled Nonlinear Networks. 397-404
  
• Martin Haenggi:
  Distributed Sensor Networks: A Cellular Nonlinear Network Perspective. 405-414
  
• Dávid Bálya:
  CNN Universal Machine as Classificaton Platform: An Art-Like Clustering Algorithm. 415-425
  

• Gustavo Liñan Cembrano, Ángel Rodríguez-Vázquez, Servando Espejo-Meana, Rafael Domínguez-Castro:
  ACE16k: A 128x128 Focal Plane Analog Processor with Digital I/O. 427-434
  
• Ricardo Carmona-Galán, Francisco Jiménez-Garrido, Rafael Domínguez-Castro, Servando Espejo-Meana, Ángel Rodríguez-Vázquez:
  CMOS Realization of a 2-Layer CNN Universal Machine Chip. 435-442
  
• Mika Laiho, Ari Paasio, Asko Kananen, Kari Halonen:
  Realization of Couplings in a Polynomial Type Mixed-Mode Cellular Neural Network. 443-452
  

• Ertugrul Saatci, Vedat Tavsanoglu:
  Fingerprint Image Enhancement Using CNN Filtering Techniques. 453-460
  
• Riccardo Caponetto, Luigi Fortuna, Luigi Occhipinti, Maria Gabriella Xibilia:
  SC-CNNs for Chaotic Signal Applications in Secure Communication Systems. 461-468
  

• Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Patané:
  Sensory Feedback in CNN-Based Central Pattern Generators. 469-478
  
• Viktor Gál, Sonja Grün, Ronald Tetzlaff:
  Analysis of Multidimensional Neural Activity Via CNN-UM. 479-487
  
• Ronald Tetzlaff, Ronald Kunz, Christian Niederhöfer:
  Cellular Neural Networks (CNN) with Linear Weight Functions for a Prediction of Epileptic Seizures. 489-498
  

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