Title:
LEARNING SYSTEM IN FUZZY INFERENCE
Document Type and Number:
Japanese Patent JPH04186402
Kind Code:
A
Abstract:
PURPOSE:To automatically determine the shape of a membership function by forming a neural network having learning capacity in a learning mechanism and allowing the network to execute learning based upon data obtained from a skipped operator. CONSTITUTION:A fuzzy inference mechanism 3 input data from past I/O data 1 already obtained by skilled operator's operation and executes inference by using a knowledge base 2 consisting of a fuzzy inference rule described by IF to TEHN formats. A difference (e) between a result obtained by the inference and a desired output value is inputted to the learning mechanism consisting of the neural network to execute learning. A learning result is stored as the weight of connection between respective neurons in the mechanism 4 and the degree of the weight is reflected to the shape of a membership function to be used for fuzzy inference in the succeeding inference cycle. Thus the shape of an optimum membership function can be automatically determined by the learning mechanism.
Inventors:
MATSUSHIMA YOSHIYUKI
HASHIMOTO SHINSUKE
HASHIMOTO SHINSUKE
Application Number:
JP31384490A
Publication Date:
July 03, 1992
Filing Date:
November 21, 1990
Export Citation:
Assignee:
HITACHI LTD
International Classes:
G05B13/02; (IPC1-7): G05B13/02
Attorney, Agent or Firm:
Katsuo Ogawa (2 outside)
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