A Boltzmann Machine with Non-rejective Move(Special Section on Papers Selected from ITC-CSCC 2001)
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概要
- 論文の詳細を見る
It have been one open and significant topic for real-time applications to enhance the processing-speed of Boltzmann machines for long time. One effective way of solution of this problern is the augmentation of probability of neurons' state move. In this paper, a novel method, called a rejectionless method, was proposed and introduced into the Boltzmann machines for this augmentation. This method has a feature of independence on the ratio of neurons' state move. The efficiency of this method for speed-up was confirmed with the experiments of TSP and graph problem.
- 社団法人電子情報通信学会の論文
- 2002-06-01
著者
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SASAKI Mamoru
Department of Neurosurgery, Ibaraki Prefectural Central Hospital
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Eguchi Kei
Department of Technology Education, Shizuoka University
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REN Fuji
Department of Information Science & Intelligent Systems, Tokushima University
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Sasaki M
Department Of Electrical Engineering And Computer Science Faculty Of Engineering Kumamoto University
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Sasaki Mamoru
Department Of Electrical Engineering And Computer Science Faculty Of Engineering Kumamoto University
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Zhu Hongbing
Department Of Computer Science Faculty Of Engineering Hiroshima Kokusai Gakuin University
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EGUCHI Kei
Kumamoto National College of Technology
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SUN Ningping
Kumamoto National College of Technology
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TABATA Toru
Kumamoto National College of Technology
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Eguchi Kei
Department Of Information And Computer Sciences Kumamoto National College Of Technology
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Eguchi Kei
Department Of Technology Education Shizuoka University
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Eguchi Kei
The Department Of Electrical Engineering And Computer Science Kumamoto University
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Eguchi K
Kumamoto National College Of Technology
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Tabata T
Kumamoto National College Of Technology
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Sasaki M
Department Of Anesthesiology Kinki University School Of Medicine
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Zhu HB
Department of Computer Science, Faculty of Engineering, Hiroshima Kokusai Gakuin University
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Sun NP
Kumamoto National College of Technology
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Ren F
Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima
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