Overview
- First book dealing exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator
- Each chapter is written in a self-contained style, all necessary background and motivations are given per chapter
- The exposed results are expected to find applications in many applied areas, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc.
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 19)
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Table of contents (4 chapters)
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Front Matter
Keywords
About this book
For the convenience of the reader, the chapters of this book are written in a self-contained style.
This treatise relies on author's last two years of related research work.
Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The exposed results are expected to find applications in many areas of computer science and applied mathematics, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science libraries.
Reviews
From the reviews:
“The present work is devoted to the study of convergence rates and upper bounds of approximation errors. … Throughout all chapters of the book the same method, the same construction is used. … The book has 107 pages and references are added to each chapter. The formal presentation by the Springer Verlag is excellent.” (Claudia Simionescu-Badea, Zentralblatt MATH, Vol. 1243, 2012)
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Systems: Approximation by Artificial Neural Networks
Authors: George A. Anastassiou
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-21431-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-21430-1Published: 02 June 2011
Softcover ISBN: 978-3-642-26855-7Published: 03 August 2013
eBook ISBN: 978-3-642-21431-8Published: 02 June 2011
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: VIII, 108
Topics: Computational Intelligence, Artificial Intelligence, Applications of Mathematics