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p2.rar
... This coding results in full use of all kinds of excellent
traits of genetic algorithm in data classification. The genetic algorithm is paralleled
in process. So this leads to the improvement of classification and its ability
to deal ...
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p3.rar
... is generated by methodically eliminating the randomness by generalized uniform population
method. In the subsequence generations, genetic diversity is ensured and premature convergence is
prevented by the uniform operator. From the experimental results ...
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p4.rar
paper we explore the use of an adaptive search technique (genetic algorithms) to construct a system GABEL which continually learns and refines concept classification rules from its interaction with the environment. The performance of the system is ...
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dm_fuzzy.rar
optimizing fuzzy with genetic algorithm implementation
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linuxneur.rar
Neural network implementation with a genetic algorithm, easy to use and build big networks
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kalmanswarm.zip
... has been explianed with various benchmark functions. This optimization method can be directly compared with other unconstrained optimization method like GA or pso for effieciency and speed.
This method is much faster as compared to genetic algorithim.
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