A truth space diagram temporal linguistic rule extraction procedure using multiple objective evolutionary algorithm

2005 ◽  
Author(s):  
P.G. DeLima ◽  
G.G. Yen
Keyword(s):  
Evolutionary Algorithm ◽  
Extraction Procedure ◽  
Rule Extraction ◽  
Multiple Objective ◽  
Linguistic Rule

Three-objective genetics-based machine learning for linguistic rule extraction

2001 ◽  
Vol 136 (1-4) ◽  
pp. 109-133 ◽  
Author(s):  
Hisao Ishibuchi ◽  
Tomoharu Nakashima ◽  
Tadahiko Murata
Keyword(s):  
Machine Learning ◽  
Rule Extraction ◽  
Linguistic Rule

EXTRACTING RULES FROM TRAINED RBF NEURAL NETWORKS

2005 ◽  
Vol 1 ◽  
pp. 33
Author(s):  
Peter Grabusts
Keyword(s):  
Neural Networks ◽  
Rbf Neural Network ◽  
Extraction Procedure ◽  
Rule Extraction ◽  
Data Sets ◽  
Rbf Neural Networks ◽  
Data Set ◽  
Extraction Algorithm ◽  
Rule Set ◽  
Iris Data

This paper describes a method of rule extraction from trained artificial neural networks. The statement of the problem is given. The aim of rule extraction procedure and suitable neural networks for rule extraction are outlined. The RULEX rule extraction algorithm is discussed that is based on the radial basis function (RBF) neural network. The extracted rules can help discover and analyze the rule set hidden in data sets. The paper contains an implementation example, which is shown through standalone IRIS data set.

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