Adaptive Simulated Annealing in CNN Template Learning
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概要
- 論文の詳細を見る
Template learning has potential application in several areas of Cellular Neural Network research, including texture recognition, pattern detection and so on. In this letter, a recently-developed algorithm called Adaptive Simulated Annealing is investigated for learning CNN templates, as a superior alternative to the Genetic Algorithm.
- 社団法人電子情報通信学会の論文
- 1999-02-25
著者
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NISHIO Yoshifumi
Department of Electrical and Electronic Engineering, Tokushima University
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Nishio Y
Tokushima Univ. Tokushima Jpn
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Nishio Yoshifumi
The Department Of Electrical And Electronic Engineering Faculty Of Engineering University Of Tokushi
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Ushida A
Tokushima Bunri Univ. Sanuki‐shi Jpn
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USHIDA Akio
Department of Mechanical and Electronic Engineering, Tokushima Bunri University
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Chandler Brett
Faculty Of Engineering Tokushima University
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Ushida Akio
Department Of Electrical And Electronic Engineering Tokushima University
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Ushida Akio
Faculty Of Engineering Tokushima University
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Ushida Akio
Department Of Electrical And Electronic Engineering The University Of Tokushima
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Ushida Akio
Department Of Electrical And Electronic Engineering Faculty Of Engineering Tokushima University
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REKECZKY Csaba
Computer and Automation Institute, Hungarian Academy of Sciences
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CHANDLER Brett
Department of Electrical and Electronic Engineering, Tokushima University
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Nishio Yoshifumi
Department Of Dept. Of Electrical And Electronics Engineering Tokushima University
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Ushida Akio
Department Of Mechanical And Electronic Engineering Faculty Of Engineering Tokushima Bunri Universit
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Ushida Akio
Department Of Mechanical-electronic Engineering Faculty Of Engineering Tokushima Bunri University
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Rekeczky Csaba
Computer And Automation Institute Hungarian Academy Of Sciences Hungary
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Rekeczky Csaba
Computer And Automation Institute Hungarian Academy Of Sciences
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