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» Genetic Algorithms for the Design of Fuzzy Neural Networks
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GI
1998
Springer
13 years 12 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
SOFTCO
2004
Springer
14 years 29 days ago
MultiNNProm: A Multi-Classifier System for Finding Genes
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
Romesh Ranawana, Vasile Palade
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
EUSFLAT
2001
125views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
Computational intelligence approaches for parametric estimation and feature extraction of power spectral density
This paper reports an early progress of a feasibility study of a computational intelligence approach to the enhancement of the accuracy of flow measurements in the framework of a ...
Da Ruan, Davide Roverso, Paolo F. Fantoni
FSS
2010
147views more  FSS 2010»
13 years 6 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz