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Publication search results
found 16 matches
- 2009
- Martin Anthony:
On Constructing Threshold Networks for Pattern Classification. Constructive Neural Networks 2009: 71-82 - Miguel Arturo Barreto-Sanz, Andrés Pérez-Uribe, Carlos Andrés Peña-Reyes, Marco Tomassini:
Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks. Constructive Neural Networks 2009: 261-279 - João Roberto Bertini Jr., Maria do Carmo Nicoletti:
A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability. Constructive Neural Networks 2009: 145-169 - David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead:
Analysis and Testing of the m-Class RDP Neural Network. Constructive Neural Networks 2009: 171-192 - Enrico Ferrari, Marco Muselli:
Efficient Constructive Techniques for Training Switching Neural Networks. Constructive Neural Networks 2009: 25-48 - Marek Grochowski, Wlodzislaw Duch:
Constructive Neural Network Algorithms That Solve Highly Non-separable Problems. Constructive Neural Networks 2009: 49-70 - Adrian Horzyk:
Self-Optimizing Neural Network 3. Constructive Neural Networks 2009: 83-101 - Andreas Huemer, David A. Elizondo, Mario Gongora:
A Constructive Neural Network for Evolving a Machine Controller in Real-Time. Constructive Neural Networks 2009: 225-242 - Hirotaka Inoue:
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees. Constructive Neural Networks 2009: 281-291 - Engelbert Mephu Nguifo, Norbert Tsopzé, Gilbert Tindo:
M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network. Constructive Neural Networks 2009: 103-121 - Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez:
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks 2009: 1-23 - Robert Ollington, Peter Vamplew, John Swanson:
Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks. Constructive Neural Networks 2009: 207-224 - Héctor F. Satizábal, Andrés Pérez-Uribe, Marco Tomassini:
Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets. Constructive Neural Networks 2009: 243-260 - José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez:
Active Learning Using a Constructive Neural Network Algorithm. Constructive Neural Networks 2009: 193-206 - Peter Sussner, Estevão Laureano Esmi:
Constructive Morphological Neural Networks: Some Theoretical Aspects and Experimental Results in Classification. Constructive Neural Networks 2009: 123-144 - Leonardo Franco, David A. Elizondo, José M. Jerez:
Constructive Neural Networks. Studies in Computational Intelligence 258, Springer 2009, ISBN 978-3-642-04511-0 [contents]
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