Statistical mechanics of neural networks: what are the differences between wide and narrow basins?-Reference-Cited by-同舟云学术

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Statistical mechanics of neural networks: what are the differences between wide and narrow basins?

Published:1992-06 Issue:1-4 Volume:185 Page:453-460
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Wong K.Y.M.,Sherrington D.

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference16 articles.

1. Statistical mechanics of neural networks near saturation

2. Optimal storage properties of neural network models

3. Training noise adaptation in attractor neural networks

4. Retrieval behaviours and basin structures in noise optimal neural networks;Wong;Phys. Rev. A,1992

5. Spin Glasses;Fischer,1991

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probing the basins of attraction of a recurrent neural network;Journal of Physics A: Mathematical and General;2000-02-28

2. Probing the attractors in neural networks;Physica A: Statistical Mechanics and its Applications;1993-11

3. Pattern selectivity in neural networks as a means of understanding basin structures;Journal of Physics A: Mathematical and General;1993-06-21

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