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ORCIDInternational 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 K. 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, Aluízio 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 de 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 G. O. 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 G. O. 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 - Apostolos 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
Theory
- 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 Liñán 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 G. 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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