Constructive Neural Networks /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Franco, Leonardo. (Editor ), Jerez, José M. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 258
Materias:
LEADER 02470nam a22003375i 4500
001 000282947
005 20211101113430.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 |a 9783642045127 
024 7 |a 10.1007/978-3-642-04512-7  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
245 1 0 |a Constructive Neural Networks /  |c edited by Leonardo Franco, José M. Jerez. 
250 |a 1st ed. 2009. 
260 # # |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2009. 
300 |a VIII, 293 p. :  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Studies in Computational Intelligence,  |v 258 
505 0 |a Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks -- Efficient Constructive Techniques for Training Switching Neural Networks -- Constructive Neural Network Algorithms That Solve Highly Non-separable Problems -- On Constructing Threshold Networks for Pattern Classification -- Self-Optimizing Neural Network 3 -- M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network -- 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 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. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Artificial intelligence. 
650 1 4 |a Mathematical and Computational Engineering. 
650 2 4 |a Artificial Intelligence. 
700 1 |a Franco, Leonardo.  |e editor. 
700 1 |a Jerez, José M.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
900 |a Libro descargado a ALEPH en bloque (proveniente de proveedor)