Theoretical Advances in Neural Computation and Learning

Theoretical Advances in Neural Computation and Learning edited by Vwani Roychowdhury, Kai-Yeung Siu, Alon Orlitsky.

For any research field to have a lasting impact, there must be a firm theoretical foundation. Neural networks research is no exception. Some of the founda­ tional concepts, established several decades ago, led to the early promise of developing machines exhibiting intelligence. The motivation for st...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Roychowdhury, Vwani (Editor), Kai-Yeung Siu (Editor), Orlitsky, Alon (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1994.
Edition:1st ed. 1994.
Series:Springer eBook Collection.
Subjects:
Data structures (Computer science).
Artificial intelligence.
Statistical physics.
Dynamical systems.
Electrical engineering.
Electronic resources (E-books)
Online Access:Click to view e-book
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Call Number: E-Book
Status: Available

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