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Title:
【発明の名称】プロセス運転支援方法およびシステム
Document Type and Number:
Japanese Patent JP2886112
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:
BABA KENJI
ENBUTSU ICHIRO
WATANABE SHOJI
YAHAGI TOSHIO
MARUHASHI FUMIO
MATSUZAKI HARUMI
MATSUMOTO HIROSHI
NOKITA SHUNSUKE
YODA MIKIO
HARA NAOKI
Application Number:
JP13074895A
Publication Date:
April 26, 1999
Filing Date:
May 29, 1995
Export Citation:
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Assignee:
HITACHI SEISAKUSHO KK
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; G05B13/04; G06F15/18; G06G7/60
Domestic Patent References:
JP293708A
JP2205967A
JP2238560A
JP2308359A
JP2287860A
Other References:
【文献】広瀬佳生、外2名、「中間層ユニット数を変化させるバックプロパケーション法」、電子情報通信学会春季全国大会講演論文集(7)、社団法人電子情報通信学会、平成元年3月15日、P.7ノ18
Attorney, Agent or Firm:
Kazuko Tomita