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Trends in Neural Computation - Ke Chen; Lipo Wang
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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 - nouveau livre

2005, ISBN: 9783540361220

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 - nouveau livre

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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 … Plus…

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2006, ISBN: 9783540361220

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 … Plus…

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Trends in Neural Computation - nouveau livre

2006, ISBN: 9783540361220

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 … Plus…

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EAN (ISBN-13): 9783540361220
Date de parution: 2006
Editeur: Springer

Livre dans la base de données depuis 2017-04-17T08:47:52+02:00 (Zurich)
Page de détail modifiée en dernier sur 2020-09-16T16:15:43+02:00 (Zurich)
ISBN/EAN: 9783540361220

ISBN - Autres types d'écriture:
978-3-540-36122-0


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: 2006-11-15
Berlin; Heidelberg; DE
Langue: Anglais
213,99 € (DE)
220,00 € (AT)
236,00 CHF (CH)
Available
X, 512 p. 159 illus., 18 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Analysis; Regression; algorithm; algorithms; architecture; artificial neural network; biometrics; classification; computer; computer science; learning; model; modeling; robot; C; Artificial Intelligence; Theory of Computation; Mathematical and Computational Engineering Applications; Engineering; 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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