Technique of Knowledge Dissolved in Neural Network and Non-searching Fast Inference

Zheng Deling; Li Qing

doi:10.13374/j.issn1001-053x.1997.02.017

Volume 19 Issue 2

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 1997 > 19(2): 196-200

Zheng Deling, Li Qing. Technique of Knowledge Dissolved in Neural Network and Non-searching Fast Inference[J]. Chinese Journal of Engineering, 1997, 19(2): 196-200. doi: 10.13374/j.issn1001-053x.1997.02.017

Citation:

Zheng Deling, Li Qing. Technique of Knowledge Dissolved in Neural Network and Non-searching Fast Inference[J]. Chinese Journal of Engineering, 1997, 19(2): 196-200. doi: 10.13374/j.issn1001-053x.1997.02.017

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Technique of Knowledge Dissolved in Neural Network and Non-searching Fast Inference

doi: 10.13374/j.issn1001-053x.1997.02.017

Information Engineering School, UST Beijing, Beijing 100083 China

Received Date: 1996-08-06
Available Online: 2021-08-27

Abstract

Abstract

A method of building expert systems with fuzzy-neural technique is proposed.The technique of the knowledge dissolved in a neural network non-searching inference have been researched. The membership functions for the input virable have been generated by a triple separation. The simulation experiment results of expert system in the heating furnace show that the inference speed is fast and the result is satisfactory.
- expert control,
- fuzzy logic,
- neural network,