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» Strategies For Fuzzy Inference within Classifier Systems
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 3 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
IEAAIE
2007
Springer
15 years 3 months ago
Intelligent OS Process Scheduling Using Fuzzy Inference with User Models
The process scheduling aims to arrange CPU time to multiple processes for providing users with more efficient throughput. Except the class of process set by user, conventional oper...
Sungsoo Lim, Sung-Bae Cho
95
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SOCO
2002
Springer
14 years 9 months ago
Content-based audio classification and retrieval using a fuzzy logic system: towards multimedia search engines
In recent years, available audio corpora are rapidly increasing from fast growing Internet and digital libraries. How to classify and retrieve sound files relevant to the user'...
Mingchun Liu, Chunru Wan, Lipo Wang
IEEEIAS
2008
IEEE
15 years 3 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
TSMC
2002
112views more  TSMC 2002»
14 years 9 months ago
An efficient algorithm for automatically generating multivariable fuzzy systems by Fourier series method
By exploiting the Fourier series expansion, we have developed a new constructive method of automatically generating a multivariable fuzzy inference system from any given sample set...
Liang Chen, Naoyuki Tokuda