21 search results - page 2 / 5 » Extracting rules from trained neural network using GA for ma... |
ESANN
1997
13 years 6 months ago
1997
Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
TNN
2010
13 years 4 days ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
IEEEICCI
2002
IEEE
13 years 10 months ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
CIBCB
2005
IEEE
13 years 7 months ago
2005
IEEE
— A fuzzy neural network (FNN) and multiple linear regression (MLR) were used to predict biological activities of 26 newly designed HIV-1 protease potential inhibitory compounds....
BIOADIT
2006
Springer
13 years 9 months ago
2006
Springer
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...