2000年
Reinforcement learning algorithm with network extension for pulse neural network
SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5
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- 開始ページ
- 2586
- 終了ページ
- 2591
- 記述言語
- 英語
- 掲載種別
- 出版者・発行元
- IEEE
In this paper, we propose a new hierarchical pulse neural network and its reinforcement learning algorithm with network extension. The proposed pulse neural network has three layers, and all of the neurons are pulse neurons. This network learns relations between input pulse sequences and the desired outputs by updating connection weights and by adding neurons dynamically. We carried out the computer simulation to confirm the performance of the proposed algorithm.
- リンク情報
- ID情報
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- ISSN : 1062-922X
- Web of Science ID : WOS:000166106900450