Title:
【発明の名称】ニューラルネットワークにおける結合のグループ単位逐次学習方式
Document Type and Number:
Japanese Patent JP3172164
Kind Code:
B2
Abstract:
PURPOSE:To prevent the breakdown of knowledge reflected at the time of setting an initial value of weight by converting a neural network of complete coupling to a network having a certain special structures by setting a group of coupling as a unit, adjusting the degree of learning at every coupling group and determining the sequence of leading. CONSTITUTION:A neural network learning means 4 sets a learning adjustment constant outputted by a learning adjustment constant output means 3 to all couplings in a neural network, and controls learning of the neural network. In accordance with the storage contents of a learning coupling group storage means 5, that is, the designation of a coupling group learned in each learning phase, a learning phase control means 6 allows the learning adjustment constant output means 3 to output, for instance, '1', and '0' to an in-group coupling or an inter-group coupling learned in each learning phase, and to all the coupling except the above coupling, respectively, and also, controls learning of each learning phase. In such a way, it can be prevented that knowledge reflected at the time of setting an initial value of weight is broken down.
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Inventors:
Nobuo Watanabe
Asahi Kawamura
Ryusuke Masuoka
Yuri Owada
Kazuo Asakawa
Shigenori Matsuoka
Hiroyuki Okada
Asahi Kawamura
Ryusuke Masuoka
Yuri Owada
Kazuo Asakawa
Shigenori Matsuoka
Hiroyuki Okada
Application Number:
JP12290390A
Publication Date:
June 04, 2001
Filing Date:
May 15, 1990
Export Citation:
Assignee:
富士通株式会社
株式会社エフ・エフ・シー
株式会社エフ・エフ・シー
International Classes:
G06G7/60; G06F15/18; G06N3/08; G06N99/00; G11C11/54; (IPC1-7): G06N3/08; G06G7/60; G11C11/54
Other References:
【文献】情報処理学会第40回(平成2年前期)全国大会講演論文集3C-10 渡部信雄、川村旭他「ニューラルネットワークによるファジィ制御-ニューロ・ファジィ融合システムの検討-」
Attorney, Agent or Firm:
Yoshiyuki Osuge (1 outside)