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Trends in Neural Computation (Studies in Computational Intelligence, Band 35) - Ke Chen, Lipo Wang
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Trends in Neural Computation (Studies in Computational Intelligence, Band 35) - Livres de poche

2005, ISBN: 3642071597

Taschenbuch, [EAN: 9783642071591], Springer, Springer, Book, [PU: Springer], Springer, Trends in Neural Computation includes twenty chapters contributed by leading experts or formed by ex… Plus…

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Trends in Neural Computation (Studies in Computational Intelligence, Band 35) - Livres de poche

2005, ISBN: 3642071597

Taschenbuch, [EAN: 9783642071591], Springer, Springer, Book, [PU: Springer], Springer, Trends in Neural Computation includes twenty chapters contributed by leading experts or formed by ex… Plus…

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Ke Chen; Lipo Wang:
Trends in Neural Computation - Livres de poche

2005

ISBN: 9783642071591

Nowadays neural computation has become an interdisciplinary field in its own right; researches have been conducted ranging from diverse disciplines, e.g. computational neuroscience and co… Plus…

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

2010, ISBN: 3642071597

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Softcover reprint of hardcover 1st ed. 2007 Kartoniert / Broschiert Informatik, Theoretische Informatik, Künstliche Intelligenz, Analysis; Regression; algorithm; algorithms; architectur… Plus…

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Trends in Neural Computation - Livres de poche

ISBN: 9783642071591

Trends in Neural Computation Trends-in-Neural-Computation~~Ke-Chen Science>Mathematics>Mathematics Paperback, Springer Berlin Heidelberg

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Trends in Neural Computation (Studies in Computational Intelligence, Band 35)
Auteur:
Titre:
ISBN:

9783642071591


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.

Informations détaillées sur le livre - Trends in Neural Computation (Studies in Computational Intelligence, Band 35)


EAN (ISBN-13): 9783642071591
ISBN (ISBN-10): 3642071597
Version reliée
Livre de poche
Date de parution: 2005
Editeur: Springer

Livre dans la base de données depuis 2013-01-11T18:38:47+01:00 (Zurich)
Page de détail modifiée en dernier sur 2020-10-20T13:42:34+02:00 (Zurich)
ISBN/EAN: 9783642071591

ISBN - Autres types d'écriture:
3-642-07159-7, 978-3-642-07159-1
Autres types d'écriture et termes associés:
Auteur du livre: chen
Titre du livre: neural computation

Données de l'éditeur

Auteur: Ke Chen; Lipo Wang
Titre: Studies in Computational Intelligence; Trends in Neural Computation
Editeur: Springer; Springer Berlin
512 Pages
Date de parution: 2010-11-22
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
X, 512 p. 159 illus., 18 illus. in color.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; 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; BB; EA

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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