103 search results - page 8 / 21 » Extraction of fuzzy rules from trained neural network using ... |
115
Voted
ICANN
2005
Springer
15 years 8 months ago
2005
Springer
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...
106
Voted
ICTAI
2009
IEEE
15 years 9 months ago
2009
IEEE
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
136
Voted
IEEEICCI
2002
IEEE
15 years 7 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...
114
Voted
CEC
2003
IEEE
15 years 8 months ago
2003
IEEE
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
166
Voted
TNN
2010
14 years 9 months 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...