Constructive neural networks [electronic resource] / Leonardo Franco, David A. Elizondo, and José M. Jerez (eds.)
"This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special session held during the 18th International Conference on Artificial Neural Networks (ICANN 2008) in September 2008 in Prague, Czech Republ...
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Full Text (via Springer) |
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| Corporate Author: | |
| Other Authors: | , , |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Berlin :
Springer,
©2009.
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| Series: | Studies in computational intelligence ;
v. 258. |
| Subjects: |
MARC
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| 245 | 0 | 0 | |a Constructive neural networks |h [electronic resource] / |c Leonardo Franco, David A. Elizondo, and José M. Jerez (eds.) |
| 260 | |a Berlin : |b Springer, |c ©2009. | ||
| 300 | |a 1 online resource (viii, 291 pages) : |b illustrations. | ||
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| 490 | 1 | |a Studies in computational intelligence, |x 1860-949X ; |v v. 258. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks -- Efficient Constructive Techniques for Training Switching Neural Networks -- Constructive Neural Networks Algorithms that Solve Highly Non-Separable Problems -- On Constructing threshold Networks for Pattern Classification -- Self-Optimizing neural Networks 3 -- Multiclass Concept Lattice-Based Artificial Neural Networks -- Constructive Morphological Neural Networks: some Theoretical Aspects and Experimental Results in Classification -- A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on linear Separability -- Analysis and Testing of the M-Class RDP Neural Network -- Active Learning using a new Constructive Neural Network Algorithm -- Incorporating Expert Advice into Reinforcement Learning using Constructive Neural Networks -- A Constructive Neural Network for Evolving a Machine Controller in Real-Time -- Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets -- Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks -- Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees. | |
| 520 | |a "This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special session held during the 18th International Conference on Artificial Neural Networks (ICANN 2008) in September 2008 in Prague, Czech Republic"--Preface. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Neural networks (Computer science) |0 http://id.loc.gov/authorities/subjects/sh90001937. | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260. | |
| 700 | 1 | |a Franco, Leonardo. |0 http://id.loc.gov/authorities/names/n97053430 |1 http://isni.org/isni/0000000083385620. | |
| 700 | 1 | |a Elizondo, David A. |0 http://id.loc.gov/authorities/names/nb2009032685 |1 http://isni.org/isni/0000000075416538. | |
| 700 | 1 | |a Jerez, José M. |0 http://id.loc.gov/authorities/names/nb2009032684. | |
| 711 | 2 | |a International Conference on Artificial Neural Networks (European Neural Network Society) |n (18th : |d 2008 : |c Prague) | |
| 776 | 0 | 8 | |i Print version: |t Constructive neural networks. |d Berlin : Springer, ©2009 |z 9783642045110 |w (DLC) 2009937150 |w (OCoLC)436030848. |
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