Neuro-fuzzy-integrated data processing system
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United States of America Patent
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Feb 23, 1999
Grant Date -
N/A
app pub date -
Jun 9, 1992
filing date -
Mar 12, 1990
priority date (Note) -
Expired
status (Latency Note)
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Abstract
The present invention relates to a data processing system in a hierarchical network configuration for executing applicable data processes in a comprehensible and executable form. The present invention allows data processing capabilities to be established with high precision in a short time based on a fuzzy-neuro-integrated concept. A fuzzy model is generated by a data processing system in the form of membership functions and fuzzy rules as technical information relating to a control target. According to this fuzzy model, a weight value of the connection between neurons is set and a pre-wired neural network is established. Then, the data of the control target are learned by the neural network. The connection state and a weight value of the neural network after the learning enable tuning of the fuzzy model.
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