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This paper presents a hybrid algorithm which combines chaos, immune and genetic algorithm to design the radial basis function neural networks. We use the chaos variable which has the characters of pseudo-randomness and irregularity in chaos theory to generate the initial population, ensuring the initial solutions would map into the whole solution space. Moreover, by introducing the affinity calculated...
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