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Trends in Neural Computation - Wang, Lipo (Herausgeber); Chen, Ke (Herausgeber)
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Wang, Lipo (Herausgeber); Chen, Ke (Herausgeber):

Trends in Neural Computation - encadernado, livro de bolso

2006, ISBN: 3540361219

2007 Gebundene Ausgabe Neuronales Netz - Neuronaler Computer - Neurocomputer, Theoretische Informatik, Künstliche Intelligenz, Analysis; Regression; algorithm; algorithms; architecture;… mais…

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Trends in Neural Computation - Wang, Lipo (Herausgeber); Chen, Ke (Herausgeber)
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Wang, Lipo (Herausgeber); Chen, Ke (Herausgeber):

Trends in Neural Computation - encadernado, livro de bolso

2006, ISBN: 3540361219

2007 Gebundene Ausgabe Neuronales Netz - Neuronaler Computer - Neurocomputer, Theoretische Informatik, Künstliche Intelligenz, Analysis; Regression; algorithm; algorithms; architecture;… mais…

Custos de envio:Versandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
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Trends in Neural Computation - Wang, Lipo (Herausgeber); Chen, Ke (Herausgeber)
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Wang, Lipo (Herausgeber); Chen, Ke (Herausgeber):
Trends in Neural Computation - encadernado, livro de bolso

2006

ISBN: 3540361219

2007 Gebundene Ausgabe Neuronales Netz - Neuronaler Computer - Neurocomputer, Theoretische Informatik, Künstliche Intelligenz, Learning; Model; modeling; robot; Analysis; Regression; al… mais…

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Chen, Ke and Lipo Wang (Edts.):
Trends in Neural Computation. (=Studies in computational intelligence ; Vol. 35). - encadernado, livro de bolso

ISBN: 9783540361213

X, 512 S.; Ill. Hardcover, [PU: Springer, Berlin/Heidelberg]

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Trends in Neural Computation (Studies in Computational Intelligence)
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Trends in Neural Computation (Studies in Computational Intelligence) - encadernado, livro de bolso

2006, ISBN: 3540361219

[EAN: 9783540361213], Neubuch, [PU: Springer], This item is printed on demand, Books

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Trends in Neural Computation: 35 (Studies in Computational Intelligence, 35)
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Número ISBN:

9783540361213


Trends in Neural Computation includes twenty chapters contributed by leading experts or formed by extending well-selected papers presented in the 2005 International Conference on Natural Computation. The book reviews the latest progress in a range of different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks - architectures and learning algorithms and their applications in real-world problems.

Dados detalhados do livro - Trends in Neural Computation: 35 (Studies in Computational Intelligence, 35)


EAN (ISBN-13): 9783540361213
ISBN (ISBN-10): 3540361219
Livro de capa dura
Livro de bolso
Ano de publicação: 2006
Editor/Editora: Springer
512 Páginas
Peso: 0,865 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-05-28T20:11:48+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2023-11-26T12:10:00+00:00 (Lisbon)
Número ISBN/EAN: 9783540361213

Número ISBN - Ortografia alternativa:
3-540-36121-9, 978-3-540-36121-3
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: lipo, chen
Título do livro: neutral, chen

Dados da editora

Autor: Ke Chen; Lipo Wang
Título: Studies in Computational Intelligence; Trends in Neural Computation
Editora: Springer; Springer Berlin
512 Páginas
Ano de publicação: 2006-10-26
Berlin; Heidelberg; DE
Língua: Inglês
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
Available
X, 512 p. 159 illus., 18 illus. in color.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Analysis; Regression; algorithm; algorithms; architecture; artificial neural network; biometrics; classification; computer; computer science; learning; model; modeling; robot; Artificial Intelligence; Theory of Computation; Mathematical and Computational Engineering Applications; Theoretische Informatik; Mathematik für Ingenieure; BC

Hyperbolic Function Networks for Pattern Classification.- Variable Selection for the Linear Support Vector Machine.- Selecting Data for Fast Support Vector Machines Training.- Universal Approach to Study Delayed Dynamical Systems.- A Hippocampus-Neocortex Model for Chaotic Association.- Latent Attractors: A General Paradigm for Context-Dependent Neural Computation.- Learning Mechanisms in Networks of Spiking Neurons.- GTSOM: Game Theoretic Self-organizing Maps.- How to Generate Different Neural Networks.- A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression.- An Evolved Recurrent Neural Network and Its Application.- A Min-Max Modular Network with Gaussian-Zero-Crossing Function.- Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering.- Modular Neural Networks and Their Applications in Biometrics.- Performance Analysis of Dynamic Cell Structures.- Short Term Electric Load Forecasting: A Tutorial.- Performance Improvement for Formation-Keeping Control Using a Neural Network HJI Approach.- A Robust Blind Neural Equalizer Based on Higher-Order Cumulants.- The Artificial Neural Network Applied to Servo Control System.- Robot Localization Using Vision.
reflects the latest progresses made in different areas of neural computation provides an alternative methodology to understand brain functions and cognitive process and to solve challenging real-world problems effectively includes theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks – architectures and learning algorithms and their applications in real-world problems. Includes supplementary material: sn.pub/extras

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