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A novel chaotic immune algorithm (CImmune) is proposed to implement for parameter selection of Support Vector Regression (SVR). After adding chaotic local searching to the artificial immune procedure for parameter optimization of SVR, this method takes the advantages of both Chaos Optimization Algorithm (COA) and Artificial Immune Algorithm (AIA) to improve the effect of SVR efficiently. From experiments...
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