DEMAND PATTERN PREDICTING METHOD AND PLANT OPERATING METHOD

Japanese Patent JPH03134703

A

PURPOSE:To execute an operation adapted to an actual result performed by an operator and the previous instance without necessitating much labor by inputting the predicted value of a disturbance factor on that day to a learned neural net and predicting a demand pattern on that day. CONSTITUTION:A leaning neural net 71 is allowed to learn a disturbance factor and an actual result demand pattern at plural time points in the past. The constitution of the neural net 71 is a hierarchical structure consisting of an input layer 710 constituted, based on a neuron model as a foundation, an intermediate layer 720 of at least one layer, an output layer 730, a comparison layer 740, and a teacher layer 750, and learning is executed by an error reverse propagation method. Subsequently, a disturbance factor predicted value on that day is inputted the input layer 710 of a learned neural net (predicting neural net) 72 and the output layer 730 is allowed to output a demand pattern on that day and it is predicted. In such a manner, the operation adapted to an actual result performed by an operator and the previous instance can be executed without executing a large quantity of data analysis and an interview to the operator.

BABA KENJI
ENBUTSU ICHIROU
WATANABE SHOJI
YAHAGI TOSHIO
MATSUZAKI HARUMI
MATSUMOTO HIROSHI
SHIMODA MAKOTO
NISHITANI TAKUJI
KURISU HIROMITSU
HARA NAOKI
YODA MIKIO
HATA TOSHIO
KASAI TAKEO
SHINYUU YOSHIHIRO

JP27168089A

June 07, 1991

October 20, 1989

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HITACHI LTD

G06F15/18; G05B13/02; G06N3/00; G06N99/00; (IPC1-7): G05B13/02; G06F15/18

Katsuo Ogawa (1 person outside)

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