書誌事項
- タイトル別名
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- Heuristic Optimization Using Long, Medium, and Short Term Memories
- チョウチュウ タンキ キオク オ モチイタ ハッケンテキ サイテキ カホウ
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抄録
An optimization method is proposed for unconstrained optimization problems, including neural network training. To avoid falling into local optima, the method is based on stochastic search and performs diversified and intensified searches alternatingly. Besides, for more efficient search of the solution space, it utilizes its history of searching which is stored in long, medium and short term memories and controls the diversification and intensification of the search. The method includes minimum number of adjustable parameters aiming at a generic method that does not need much parameter tuning. An example shows that the method can find the global optimum irrespective to the initial solutions.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 118 (9), 1315-1321, 1998
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679585107584
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- NII論文ID
- 10002814924
- 130006844159
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 4548610
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- データソース種別
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- JaLC
- NDL
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