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Title:
SUPPORTING SYSTEM USING NEURAL NETWORK, PLANT OPERATION SUPPORTING SYSTEM UTILIZING THE SUPPORTING SYSTEM AND AUTOMATIC ADDITIONAL LEARNING METHOD FOR NEURAL NETWORK
Document Type and Number:
Japanese Patent JP3186898
Kind Code:
B2
Abstract:

PURPOSE: To highly efficiently perform the automatic additional learning of a neural network in a plant operation supporting system with less burdens on a hardware.
CONSTITUTION: The supporting system 200 of a plant operation for supporting the operation by displaying quantitative guidance through a CRT 190 to an operator for managing the plant system of a water purification process is provided with a neural system 230 using the neural network as a means for calculating a predicted value for support and reconstructs the neural network corresponding to input conditions by the automatic additional learning method. By performing recollection by the combination of a learning cycle and a learning judgement history period (the number of days) at the time of constructing the new neural network and thereby finding the combination of the learning cycle and the learning judgement history period (the number of days) for letting an average recollection errors be minimum, the cycle of the automatic additional learning of the neural network is set matched with the conditions and is simultaneously changed.


Inventors:
Nobuyoshi Yamakoshi
Naoki Hara
Mikio Yoda
Kenji Baba
Katsuo Yahagi
Obuchi Misako
Application Number:
JP13170393A
Publication Date:
July 11, 2001
Filing Date:
June 02, 1993
Export Citation:
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Assignee:
株式会社日立製作所
International Classes:
G05B13/02; G06F15/18; G06G7/60; G06N99/00; (IPC1-7): G06G7/60; G05B13/02; G06F15/18
Domestic Patent References:
JP5265997A
JP660049A
JP5108596A
JP594554A
JP589076A
JP415696A
JP2195935A
Other References:
【文献】「ニューラルネットを用いたプラント運転ルール抽出に関する研究」電気学会論文誌D、111巻1号 p20~28、平成3年1月20日
Attorney, Agent or Firm:
Yoshihiro Takasaki