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Franco, Leonardo und Jose M. Jerez:

Constructive Neural Networks 2010 - livro usado

2009, ISBN: 9783642045110

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Franco, Leonardo:

Constructive Neural Networks (Studies in Computational Intelligence, 258) - encadernada, livro de bolso

ISBN: 9783642045110

Springer. Hardcover. GOOD. Spine creases, wear to binding and pages from reading. May contain limited notes, underlining or highlighting that does affect the text. Possible ex library c… mais…

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Franco, Leonardo:
Constructive Neural Networks (Studies in Computational Intelligence, 258) - encadernada, livro de bolso

2009

ISBN: 9783642045110

Hardcover, All pages and cover are intact. Possible slightly loose binding, minor highlighting and marginalia, cocked spine or torn dust jacket. Maybe an ex-library copy and not include t… mais…

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Franco, Leonardo:
Constructive Neural Networks (Studies in Computational Intelligence, 258) - encadernada, livro de bolso

2009, ISBN: 3642045111

[EAN: 9783642045110], Gebraucht, sehr guter Zustand, [PU: Springer], Light rubbing wear to cover, spine and page edges. Very minimal writing or notations in margins not affecting the text… mais…

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Franco, Leonardo und Jose M. Jerez:
Constructive Neural Networks - livro usado

2009, ISBN: 9783642045110

[PU: Springer Berlin], Neubindung, Buchschnitt leicht verkürzt, Buchecken leicht angestossen 5684257/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2010, Banküberweisung, … mais…

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Constructive Neural Networks by Leonardo Franco Hardcover | Indigo Chapters
Autor:
Título:
Número ISBN:

3642045111


The book is a collection of invited papers on Constructive methods for Neural networks. Most of the chapters are extended versions of works presented on the special session on constructive neural network algorithms of the 18th International Conference on Artificial Neural Networks (ICANN 2008) held September 3-6, 2008 in Prague, Czech Republic. The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to standard trial and error methods for searching adequate architectures. It is made of 15 articles which provide an overview of the most recent advances on the techniques being developed for constructive neural networks and their applications. It will be of interest to researchers in industry and academics and to post-graduate students interested in the latest advances and developments in the field of artificial neural networks. TOC: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.

Dados detalhados do livro - Constructive Neural Networks by Leonardo Franco Hardcover | Indigo Chapters


EAN (ISBN-13): 9783642045110
ISBN (ISBN-10): 3642045111
Livro de capa dura
Ano de publicação: 2009
Editor/Editora: Leonardo Franco
291 Páginas
Peso: 0,599 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-12-31T21:59:06-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-09-15T06:02:20-03:00 (Sao Paulo)
Número ISBN/EAN: 3642045111

Número ISBN - Ortografia alternativa:
3-642-04511-1, 978-3-642-04511-0
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: josé leonardo, franco elizondo
Título do livro: constructiv, neural networks, leonardo

Dados da editora

Autor: Leonardo Franco; José M. Jerez
Título: Studies in Computational Intelligence; Constructive Neural Networks
Editora: Springer; Springer Berlin
293 Páginas
Ano de publicação: 2009-10-27
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
VIII, 293 p.

BB; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Technik; Constructive Algorithms; algorithm; algorithms; artificial neural network; calculus; computational intelligence; control; fuzzy; intelligence; learning; learning algorithm; neural network; neural networks; reinforcement learning; training; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BC

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.
Presents the state of the art of Constructive Algorithms for Neural Networks

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9783642261084 Constructive Neural Networks by Leonardo Franco Paperback | Indigo Chapters (José M. Jerez)

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