Extract intelligible and concise fuzzy rules from neural networks
type: Item
instance of: scholarly article
title: Extract intelligible and concise fuzzy rules from neural networks
zbMATH Open document ID: 1008.68579
DOI: 10.1016/S0165-0114(01)00239-1
author: Samuel H. Huang
author: Hao Xing
published in: Fuzzy Sets and Systems
publication date: 2003-04-02T00:00:00Z
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 1891678
zbMATH Keywords: Knowledge acquisition
zbMATH Keywords: Neuro-fuzzy systems
zbMATH Keywords: Pattern recognition
zbMATH Keywords: Manufacturing
describes a project that uses: HyFIS
MaRDI profile type: Publication
cites work: On the equivalence of neural nets and fuzzy expert systems
cites work: Q4845463
cites work: Q4843393
cites work: A search technique for rule extraction from trained neural networks
cites work: Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting
cites work: Knowledge-based artificial neural networks
cites work: Q4833824
full work available at URL: s0165-0114(01)00239-1
OpenAlex ID: W2062154476
description: scientific article; zbMATH DE number 1891678