Fast Learning Algorithms for Self-Organizing Map Employing Rough Comparison WTA and its Digital Hardware Implementation(<Special Section>New System Paradigms for Integrated Electronics)
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概要
- 論文の詳細を見る
This paper describes a new fast learning algorithm for Self-Organizing Map employing a "rough comparison winner-take-all" and its digital hardware architecture. In rough comparison winner-take-all algorithm, the winner unit is roughly and strictly assigned in early and later learning stage, respectively. It realizes both of high accuracy and fast learning. The digital hardware of the self-organizing map with proposed WTA algorithm is implemented using FPGA. Experimental results show that the designed hardware is superior to other hardware with respect to calculation speed.
- 社団法人電子情報通信学会の論文
- 2004-11-01
著者
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Tamukoh Hakaru
Institute Of Symbiotic And Technology Tokyo University Of Agriculture And Technology
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Yamakawa T
Graduate School Of Life Science And Systems Engineering Kyushu Institute Of Technology
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Yamakawa Takeshi
Graduate School Of Life Science And Systems Engineering Kyushu Inst. Of Tech.
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Horio Keiichi
Graduate School Of Life Science And Systems Engineering Kyushu Institute Of Technology
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Horio Keiichi
Graduate School Of Life Science And Systems Engineering Kyushu Inst. Of Tech.
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TAMUKOH Hakaru
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
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