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ORCIDInternational Journal of Neural Systems, Volume 11
Volume 11, Number 1, February 2001
- Michel Duhoux, Johan A. K. Suykens
, Bart De Moor, Joos Vandewalle:
Improved Long-Term Temperature Prediction by Chaining of Neural Networks. 1-10 - Guilherme De A. Barreto, Aluízio F. R. Araújo:
Unsupervised Learning and Temporal Context to Recall Complex Robot Trajectories. 11-22 - Alan F. Murray:
Analogue VLSI for Probabilistic Networks and Spike-Time Computation. 23-32 - Olivier Lezoray, Hubert Cardot:
A Neural Network Architecture for Data Classification. 33-42 - Lei Xu:
Best Harmony, Unified RPCL and Automated Model Selection for Unsupervised and Supervised Learning on Gaussian Mixtures, Three-Layer Nets and ME-RBF-SVM Models. 43-69 - Pedro A. González Lanza, Jesús M. Zamarreño:
A Short-Term Temperature Forecaster Based on a Novel Radial Basis Functions Neural Network. 71-77 - John A. Bullinaria, Patricia M. Riddell:
Neural Network Control Systems that Learn to Perform Appropriately. 79-88 - Seongyun Cho:
Modelling and Prediction for Chaotic FIR Laser Attractor Using Rational Function Neural Network. 89-99
Volume 11, Number 2, April 2001
- Michael Breakspear:
Perception of Odors by a Nonlinear Model of the Olfactory Bulb. 101-124 - András Lörincz, György Hévízi, Csaba Szepesvári:
Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops. 125-143 - Timothy L. Andersen, Tony R. Martinez:
DMP3: A Dynamic Multilayer Perceptron Construction Algorithm. 145-165 - Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls:
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. 167-177 - João F. A. Martins, Rui Vilela Mendes:
Neural Networks and Logical Reasoning Systems: A Translation Table. 179-186 - Pau Bofill, Carme Torras:
Neural Cost Functions and Search Strategies for the Generation of Block Designs: An Experimental Evaluation. 187-202 - Howard C. Card:
Stochastic Radial Basis Functions. 203-210
Volume 11, Number 3, June 2001
- Celso de Sousa Júnior, Elder Moreira Hemerly:
Adaptive Control of Mobile Robots Using a Neural Network. 211-218 - Hamid Beigy, Mohammad Reza Meybodi:
Backpropagation Algorithm Adaptation Parameters Using Learning Automata. 219-228 - Mário Eduardo Bordon, Ivan Nunes da Silva, Edwin Avolio:
Design of a Neurofuzzy Controller with Simplified Architecture. 229-235 - Juan Carlos Herrero:
CDMA & TDMA Based Neural Nets. 237-246 - Guido Bologna:
A Study on Rule Extraction from Several Combined Neural Networks. 247-255 - Marcelo Barros de Almeida, Anelise P. Braga, João Pedro Braga:
Training SVMs with EDR Algorithm. 257-263 - Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha:
Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks. 265-270 - Roelof K. Brouwer:
A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors. 271-279 - Ivan Nunes da Silva, André Nunes de Souza, Mário Eduardo Bordon:
A Novel Approach for Solving Constrained Nonlinear Optimization Problems Using Neurofuzzy Systems. 281-286 - Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
Evolutionary Optimization of RBF Networks. 287-294 - Carmen L. R. Santos, Pedro Paulo Balbi de Oliveira, Phil Husbands:
Three Case Studies of the Gasnet Model in Discrete Domains. 295-304 - Pablo M. Granitto, Pablo F. Verdes, Hugo D. Navone, H. Alejandro Ceccatto:
A Late-Stopping Method for Optimal Aggregation of Neural Networks. 305-310 - Priscila Machado Vieira Lima:
A Goal-Driven Neural Propositional Interpreter. 311-322
Volume 11, Number 4, August 2001
- L. Andrew Coward, Tom Gedeon, William Kenworthy:
Application of the Recommendation Architecture to Telecommunications Network Management. 323-327 - Takeshi Yamakawa, Hideaki Kawano:
Identification of a Landmark in a Roentgenographic Cephalogram by Employing the Wavelet Neurons. 329-334 - Marylin L. Vaughn, Steven J. Cavill, Stewart J. Taylor, Michael A. Foy, Anthony J. B. Fogg:
Direct Explanations for the Development and Use of a Multi-layer Perceptron Network that Classifies Low-back-pain Patients. 335-347 - Udantha R. Abeyratne, G. Zhang, P. Saratchandran:
Eeg Source Localization: A Compartive Study of Classical and Neural Network Methods. 349-359 - Sungzoon Cho, Min Sup Shin:
Neural Network Based Automatic Diagnosis of Children with Brain Dysfunction. 361-369 - Abderrahim Labbi, Holger Bosch, Christian Pellegrini:
High Order Statistics for Image Classification. 371-378 - Lai-Wan Chan, Chi-Cheong Szeto:
Weight Groupings in Second Order Training Methods for Recurrent Networks. 379-387
Volume 11, Number 5, October 2001
- Simone G. O. Fiori:
Probability Density Function Learning by Unsupervised Neurons. 399-417 - Yoshitatsu Matsuda, Kazunori Yamaguchi:
Global Mapping Analysis: Stochastic Approximation for Multidimensional Scaling. 419-426 - Gary G. Yen, Phayung Meesad:
Constructing a Fuzzy Rule-Based System Using the ILFN Network and Genetic Algorithm. 427-443 - Tatiana Tambouratzis:
String Matching Artificial Neural Networks. 445-453 - Tanweer Ahmad Cheema, Ijaz Mansoor Qureshi, Abdul Jalil, Aqdas Naveed Malik:
Artificial Neural Networks for Blur Identification and Restoration of Nonlinearly Degraded Images. 455-461 - Alexander V. Goltsev, Dmitri A. Rachkovskij:
A Recurrent Neural Network for Partitioning of Hand Drawn Characters into Strokes of Different Orientations. 463-475 - Gürsel Serpen, Amol Patwardhan, Jeff Geib:
The Simultaneous Recurrent Neural Network for Addressing the Scaling Problem in Static Optimization. 477-487 - An-Pin Chen, Chieh-Yow Chianglin, Hisu-Pei Chung:
Establishing an Index Arbitrage Model by Applying Neural Networks Method - A Case Study of Nikkei 225 Index. 489-496
Volume 11, Number 6, December 2001
- André Carlos Ponce de Leon Ferreira de Carvalho, Stefan C. Kremer:
Introduction By Guest Editors: Non-Gradient Learning Techniques. vii-ix - Alejandro Bia:
Alopex-B: A New, Simpler, But Yet Faster Version Of The Alopex Training Algorithm. 497-507 - Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells:
Improving Artmap Learning Through Variable Vigilance. 509-522 - Leandro Nunes de Castro, Fernando J. Von Zuben:
Automatic Determination Of Radial Basis Functions: An Immunity-Based Approach. 523-535 - James M. Hogan, Joachim Diederich:
Recruitment Learning Of Boolean Functions In Sparse Random Networks. 537-559 - Roseli A. Francelin Romero, Janusz Kacprzyk, Fernando A. C. Gomide:
A Biologically Inspired Neural Network For Dynamic Programming. 561-572 - Akito Sakurai:
A Fast And Convergent Stochastic Mlp Learning Algorithm. 573-583
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