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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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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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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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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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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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…
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…
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…
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…
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…
Données bibliographiques du meilleur livre correspondant
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Informations détaillées sur le livre - Trends in Neural Computation
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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