Recent Advances in Fuzzy Cognitive Maps Learning Using Evolutionary Computation Techniques
نویسندگان
چکیده
A recently proposed swarm intelligence technique for Fuzzy Cognitive Map learning is described. The technique employs the Particle Swarm Optimization algorithm to minimize a proper objective function, whose global minimizers correspond to suboptimal weight matrices of the Fuzzy Cognitive Map. New instances of an industrial test problem are studied, justifying the usefulness of the technique as an efficient and effective algorithm for Fuzzy Cognitive Map learning.
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