Title:
【発明の名称】知識抽出方法およびプロセス運転支援システム
Document Type and Number:
Japanese Patent JP2533942
Kind Code:
B2
Abstract:
A method for extracting as knowledge causal relationships between input variables and an output variable of a neural circuit model, said neural circuit model being of a hierarchical structure constructed of an input layer, at least one hidden layer and an output layer and having performed learning a limited number of times by determining weight factors between mutually-connected neuron element models in different layers of the input layer, hidden layer and output layer, wherein with respect to plural routes extending from a neuron element model, corresponding to a particular input variable, of the input layer to a neuron element model, corresponding to a particular output variable, of the output layer by way of the individual neuron element models of the hidden layer, a product of the weight factors for each of the routes is determined, and the products for the plural routes are summed, whereby the sum is employed as a measure for the determination of the causal relationship between the particular input variable and the particular output variable.
Inventors:
Kenji Baba
Enchibu Ichiro
Shoji Watanabe
Yahagi Kazuo
Fumio Maruhashi
Harumi Matsuzaki
Hiroshi Matsumoto
Nohsuke Shunsuke
Yoda Mikio
Naoki Hara
Enchibu Ichiro
Shoji Watanabe
Yahagi Kazuo
Fumio Maruhashi
Harumi Matsuzaki
Hiroshi Matsumoto
Nohsuke Shunsuke
Yoda Mikio
Naoki Hara
Application Number:
JP19489889A
Publication Date:
September 11, 1996
Filing Date:
July 27, 1989
Export Citation:
Assignee:
株式会社日立製作所
International Classes:
G06F15/18; G05B11/32; G05B13/02; G05B13/04; G05B19/02; G05B23/02; G06F9/44; G06G7/60; G06N3/00; G06N3/08; G06N5/04; G06N7/02; (IPC1-7): G05B13/02; G06F9/44; G06F15/18
Domestic Patent References:
| JP293708A | ||||
| JP2201607A | ||||
| JP1275381A | ||||
| JP2206721A | ||||
| JP281160A |
Other References:
日経エレクトロニクス、１９８７．８．１０（Ｎｏ．４２７）ＰＰ．１１５−１２４
Attorney, Agent or Firm:
Kazuko Tomita