Overview
- 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
Part of the book series: Studies in Computational Intelligence (SCI, volume 35)
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Table of contents (20 chapters)
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Front Matter
Keywords
About this book
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 cognitive science, mathematics, physics, computer science, and other engineering disciplines. From different perspectives, neural computation provides an alternative methodology to understand brain functions and cognitive process and to solve challenging real-world problems effectively.
Trends in Neural Computation includes twenty chapters either contributed from leading experts or formed by extending well selected papers presented in the 2005 International Conference on Natural Computation. The edited book aims to reflect the latest progresses made in 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.
Editors and Affiliations
Bibliographic Information
Book Title: Trends in Neural Computation
Editors: Ke Chen, Lipo Wang
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-36122-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-36121-3Published: 26 October 2006
Softcover ISBN: 978-3-642-07159-1Published: 22 November 2010
eBook ISBN: 978-3-540-36122-0Published: 15 November 2006
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 512
Number of Illustrations: 141 b/w illustrations, 18 illustrations in colour
Topics: Artificial Intelligence, Theory of Computation, Mathematical and Computational Engineering