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Artificial Neural Networks

Artificial Neural Networks

An Introduction to ANN Theory and Practice

by P.J. Braspenning, F. Thuijsman, A.J.M.M. Weijters

Publisher Springer Science & Business Media
Published Date 1995-06-02
Page Count 293
Categories Computers / Artificial Intelligence / General, Computers / Computer Architecture, Computers / Computer Science, Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Computers / Information Technology, Computers / Machine Theory, Computers / Data Science / Neural Networks, Computers / Optical Data Processing, Computers / Software Development & Engineering / General, Computers / User Interfaces, Mathematics / Applied, Mathematics / Discrete Mathematics, Mathematics / Number Systems, Mathematics / Combinatorics, Mathematics / Numerical Analysis, Science / System Theory
Language EN
Average Rating N/A (based on N/A ratings)
Maturity Rating No Mature Content Detected
ISBN 3540594884
Book Cover This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium.
The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.
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