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Information Technology Journal
  Year: 2008 | Volume: 7 | Issue: 4 | Page No.: 684-688
DOI: 10.3923/itj.2008.684.688
 
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Study on the Capacity of Hopfield Neural Networks

Humayun Karim Sulehria and Ye Zhang

Abstract:
Hopfield Neural Networks (HNNs) are an important class of neural networks that are useful in pattern recognition and the capacity is an important criterion for such a network design. In this research, we study the capacity experimentally determined by Hopfield and also highlight the upper and (lower) bounds on it. Improvements in the capacity are also determined as well as the methods for achieving the higher capacity. HNN capacity enhancements and refinements may also inspire other models.
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How to cite this article:

Humayun Karim Sulehria and Ye Zhang, 2008. Study on the Capacity of Hopfield Neural Networks. Information Technology Journal, 7: 684-688.

DOI: 10.3923/itj.2008.684.688

URL: https://scialert.net/abstract/?doi=itj.2008.684.688

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