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» Evolving Fuzzy Rules with UCS: Preliminary Results
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BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 5 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
TFS
2008
157views more  TFS 2008»
13 years 4 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
EUSFLAT
2003
108views Fuzzy Logic» more  EUSFLAT 2003»
13 years 6 months ago
On the design of metaheuristic algorithms using fuzzy rules
We present here a co-operative multithread metaheuristic. Each thread employs a (possibly) different optimization strategy and they are controlled by a Coordinator process. A rel...
David A. Pelta, Alejandro Sancho-Royo, José...
IAW
2003
IEEE
13 years 10 months ago
An Evolutionary Approach to Generate Fuzzy Anomaly Signatures
Abstract— This paper describes the generation of fuzzy signatures to detect some cyber attacks. This approach is an enhancement to our previous work, which was based on the princ...
Fabio A. González, Jonatan Gómez, Ma...
ROBOCUP
2001
Springer
111views Robotics» more  ROBOCUP 2001»
13 years 9 months ago
Evolving Fuzzy Logic Controllers for Sony Legged Robots
This paper presents an evolutionary approach to learning a fuzzy logic controller(FLC) employed for reactive behaviour control of Sony legged robots. The learning scheme is divided...
Dongbing Gu, Huosheng Hu