A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis
Abstract
This paper proposes ajuzzy neural expert system (FNES) with the following two functions: (1) Generalization of the information derived from the training data and embodiment of knowledge in the form of the fuzzy neural network; (2) Extraction of fuzzy If-Then rules with linguistic relative importance of each proposition in an antecedent (I f -part) from a trained neural network. This paper also gives a method to extract automatically fuzzy If-Then rules from the trained neural network. To prove the effectiveness and validity of the proposed fuzzy neural expert system. a fuzzy neural expert system for medical diagnosis has been developed.
Cite
Text
Hayashi. "A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis." Neural Information Processing Systems, 1990.Markdown
[Hayashi. "A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/hayashi1990neurips-neural/)BibTeX
@inproceedings{hayashi1990neurips-neural,
title = {{A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis}},
author = {Hayashi, Yoichi},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {578-584},
url = {https://mlanthology.org/neurips/1990/hayashi1990neurips-neural/}
}