An Approach to Collaboration of Growing Self-Organizing Maps and Adaptive Resonance Theory Maps(Neural Networks and Bioengineering)
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概要
- 論文の詳細を見る
Collaboration of growing self-organizing maps (GSOM) and adaptive resonance theory maps (ART) is considered through traveling sales-person problems (TSP). The ART is used to parallelize the GSOM: it divides the input space of city positions into subspaces automatically. One GSOM is allocated to each subspace and grows following the input data. After all the GSOMs grow sufficiently they are connected and we obtain a tour. Basic experimental results suggest that we can find semi-optimal solution much faster than serial methods.
- 社団法人電子情報通信学会の論文
- 2007-09-01
著者
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SAITO Toshimichi
Hosei University
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TORIKAI Hiroyuki
Osaka University
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Saito Toshimichi
Hosei Univ. Koganei‐shi Jpn
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Torikai Hiroyuki
Osaka Univ. Toyonaka‐shi Jpn
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TAKANASHI Masaru
Hosei University
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Saito Toshimichi
Hosei Univ.
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