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Table of contents (12 chapters)
Keywords
About this book
Reviews
"All of the three primary questions are considered: What computational models can the net simulate (within polynomial bounds)? What are the computational complexity classes that are relevant to the net? How does the net (which, after all, is an analog device) relate to Church’s thesis? Moreover the power of the basic model is also analyzed when the domain of reals is replaced by the rationals and the integers."
—Mathematical Reviews
"Siegelmann's book focuses on the computational complexities of neural networks and making this research accessible...the book accomplishes the said task nicely."
---SIAM Review, Vol. 42, No 3.
Authors and Affiliations
Bibliographic Information
Book Title: Neural Networks and Analog Computation
Book Subtitle: Beyond the Turing Limit
Authors: Hava T. Siegelmann
Series Title: Progress in Theoretical Computer Science
DOI: https://doi.org/10.1007/978-1-4612-0707-8
Publisher: Birkhäuser Boston, MA
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eBook Packages: Springer Book Archive
Copyright Information: Birkhäuser Boston 1999
Hardcover ISBN: 978-0-8176-3949-5Published: 01 December 1998
Softcover ISBN: 978-1-4612-6875-8Published: 21 October 2012
eBook ISBN: 978-1-4612-0707-8Published: 06 December 2012
Edition Number: 1
Number of Pages: XIV, 181
Topics: Artificial Intelligence, Theory of Computation, Math Applications in Computer Science, Applications of Mathematics, Complex Systems, Mathematical and Computational Engineering