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在对支撑矢量回归的参数性能进行分析的基础上,引入了免疫进化算法对支撑矢量回归的模型参数和核参数进行优化.免疫进化算法是一种集免疫机制和进化机制于一体的一种新的全局并行算法,它可以通过对进化环境的自适应和自学习,有针对性地抑制由原进化算子操作的盲目性而引起的退化现象.仿真实验结果表明,免疫进化算法优化支撑矢量回归的参数不仅是可行的,也是十分有效的.
Based on the analysis of parameter performance of support vector regression, immune evolutionary algorithm is introduced to optimize the model parameters and kernel parameters of support vector regression.Immune evolutionary algorithm is a new immune system and evolutionary mechanism Which can reduce the degradation caused by the blindness of the original evolutionary operator through the adaptive and self-learning to the evolutionary environment.The simulation results show that the immune evolutionary algorithm optimizes the support vector regression The parameters are not only feasible but also very effective.