Sparsely Encoded Hopfield Model with Unit Replacement

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概要

• 論文の詳細を見る

• We investigate a sparsely encoded Hopfield model with unit replacement by using a statistical mechanical method called self-consistent signal-to-noise analysis. We theoretically obtain a relation between the storage capacity and the number of replacement units for each sparseness a. Moreover, we compare the unit replacement model with the forgetting model in terms of the network storage capacity. The results show that the unit replacement model has a finite value of the optimal sparseness on an open interval 0 (1/2 coding) <a<1 (the limit of sparseness) to maximize the storage capacity for a large number of replacement units, although the forgetting model does not.

• The Institute of Electronics, Information and Communication Engineersの論文
• 2012-08-01

著者

• AONISHI Toru

  the Interdisciplinary Graduate School of Science and Engineering

• KURATA Koji

  the Faculty of Engineering, University of the Ryukyus

• MIYATA Ryota

  the Interdisciplinary Graduate School of Science and Engineering

関連論文

• Sparsely Encoded Hopfield Model with Unit Replacement

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