Intelligent Systems: Approximation by Artificial Neural Networks - Intelligent Systems Reference Library 19 (Paperback)George A. Anastassiou (author)
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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.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 108
Weight: 192 g
Dimensions: 235 x 155 x 6 mm
Edition: 2011 ed.
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)
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