E-Book, Englisch, Band 19, 108 Seiten, eBook
E-Book, Englisch, Band 19, 108 Seiten, eBook
Reihe: Intelligent Systems Reference Library
ISBN: 978-3-642-21431-8
Verlag: Springer
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Univariate sigmoidal neural network quantitative approximation.- Univariate hyperbolic tangent neural network quantitative approximation.- Multivariate sigmoidal neural network quantitative approximation.- Multivariate hyperbolic tangent neural network quantitative approximation.