Volume 13, Number 1, February 2003

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  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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