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¡¾Ó¢ÃÀ¾­µäÊé¼®¡¿¡¶An Introduction to Neural Networks¡·(µÚ8°æ)¡¾ÒÑËÑÎÞÖØ¸´¡¿
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This manuscript attempts to provide the reader with an insight in artificial neural networks.
Back in 1990, the absence of any state-of-the-art textbook forced us into writing our own.
However, in the meantime a number of worthwhile textbooks have been published which can
be used for background and in-depth information. We are aware of the fact that, at times, this
manuscript may prove to be too thorough or not thorough enough for a complete understanding
of the material; therefore, further reading material can be found in some excellent text books
such as (Hertz, Krogh, & Palmer, 1991; Ritter, Martinetz, & Schulten, 1990; Kohonen, 1995;
Anderson & Rosenfeld, 1988; DARPA, 1988; McClelland & Rumelhart, 1986; Rumelhart &
McClelland, 1986).
Some of the material in this book, especially parts III and IV, contains timely material and
thus may heavily change throughout the ages. The choice of describing robotics and vision as
neural network applications coincides with the neural network research interests of the authors.
Much of the material presented in chapter 6 has been written by Joris van Dam and Anuj Dev
at the University of Amsterdam. Also, Anuj contributed to material in chapter 9. The basis of
chapter 7 was form by a report of Gerard Schram at the University of Amsterdam. Furthermore,
we express our gratitude to those people out there in Net-Land who gave us feedback on this
manuscript, especially Michiel van der Korst and Nicolas Maudit who pointed out quite a few
of our goof-ups. We owe them many kwartjes for their help.
==============================

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