Title:
METHOD FOR CONTROL BY NEURAL NETWORK, AND INTERNAL CONTROL UNIT
Document Type and Number:
Japanese Patent JP3040901
Kind Code:
B2
Abstract:
PURPOSE: To reduce the output error of a 1st neural network corresponding to a specified value by regarding the value, obtained by canceling the output error with the output of a 2nd neural network, as the output of a neural network arithmetic means.
CONSTITUTION: The neural network arithmetic means 101 has 1st and 2nd neural networks 301 and 302; and the neural network 301 calculates a correction quantity of, for example, a total heat absorption coefficient and the neural network 302 calculates the error quantity calculated by the network 301. To reduce the difference, the correction quantity of the total heat absorption coefficient is calculated and outputted to a model. The model varies the total heat absorption coefficient as an indeterminate parameter constituting a mathematical expression on the basis of the inputted correction quantity. Namely, the value obtained by subtracting the difference from the output of the network 302 from the output of the network 301 becomes the output of the neural network arithmetic means 101, and consequently the total heat absorption coefficient of the model is corrected.
Inventors:
Youichi Sugita
Masahiro Kayama
Yasuo Morooka
Masahiro Kayama
Yasuo Morooka
Application Number:
JP26267393A
Publication Date:
May 15, 2000
Filing Date:
October 20, 1993
Export Citation:
Assignee:
株式会社日立製作所
International Classes:
G06F15/18; G05B13/02; G06N3/00; (IPC1-7): G05B13/02; G06F15/18
Domestic Patent References:
| JP5181506A | ||||
| JP5197401A | ||||
| JP5150803A | ||||
| JP415704A | ||||
| JP5333902A |
Attorney, Agent or Firm:
Kazuko Tomita