Neurocomputing Formalisms for Computational Learning and Machine Intelligence-Reference-Cited by-同舟云学术

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Neurocomputing Formalisms for Computational Learning and Machine Intelligence

Published:1991 Issue: Volume: Page:173-245
ISSN:0065-2458
Container-title:Advances in Computers
language:
Short-container-title:

Author:

Gulati S.,Barhen J.,Iyengar S.S.

Publisher

Elsevier

Reference306 articles.

1. Nonlinear forecasting;Abarbanel;Phys. Rev.,1990

2. Ackley, D. H. (1987). “Stochastic Iterated Genetic Hill-Climbing.” Ph.D. thesis. Carnegie-Mellon University, Pittsburgh, Philadelphia.

3. A learning algorithm for Boltzmann machines;Ackley;Cog. Sci.,1985

4. The all-or-none principle in nerve;Adrian;J. Phys. Lond.,1914

5. Design and Analysis of Computer Algorithms;Aho,1974

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