Development of self-evolving modular network which grows to the optimal structure in self-organizing manner
| Project/Area Number |
25730153
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Soft computing
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| Research Institution | National Fisheries University |
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Principal Investigator |
Tokunaga Kazuhiro 独立行政法人水産大学校, その他部局等, 講師 (00432956)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 自己成長型モジュラーネットワーク / 成長型自己組織化マップ / 自己組織化マップ / 自己成長型ニューラルネットワーク / 成長型ニューラルネットワーク / ニューラルネットワーク |
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| Outline of Final Research Achievements |
The purpose of this work is to develop new growing neural network for the backbone algorithm of a self-evolving modular network. In this work, an information criterion-based growing topology representing has been proposed. Also its theory and learning algorithm have been established. In the experiments with artificial data, the proposed method has been able to obtain a sufficient results with the less samples as compared with the conventional growing neural network. Also the stability of the learning is shown in the proposed method. From the results of various experiments, it was suggested that the proposed method is effective as a backbone algorithm of the self-evolving modular network.
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Report
(4 results)
Research Products
(7 results)
