Performance of Chaos and Burst Noises Injected to the Hopfield NN for Quadratic Assignment Problems
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説明
In this paper, performance of chaos and burst noises injected to the Hopfield Neural Network for quadratic assignment problems is investigated. For the evaluation of the noises, two methods to appreciate finding a lot of nearly optimal solutions are proposed. By computer simulations, it is confirmed that the burst noise generated by the Gilbert model with a laminar part and a burst part achieved the good performance as the intermittency chaos noise near the three-periodic window.
収録刊行物
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E87-A (4), 937-943, 2004-04-01
The Institute of Electronics, Information and Communication Engineers
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詳細情報 詳細情報について
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- CRID
- 1050845762396289280
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- NII論文ID
- 110003212982
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- NII書誌ID
- AA10826239
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- ISSN
- 09168508
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB
- CiNii Articles
