基于遗传算法的参数优化估算模型

摘要

支持向量机中参数的设置是模型是否精确和稳定的关键。固定的参数设置往往不能满足优化模型的要求,同时使得学习算法过于死板,不能体现出来算法的智能化优点,因此利用遗传算法(Genetic Algorithm,简称GA)对估算模型的参数进行优化,使得估算模型灵活、智能,更加符合实际工程建模的需求。%　　Parameter setting of the Support Vector Machine is the key to the stability and precision of the model.The fixed parameter setting often do not meet the request of the optimization model,while making the learning algorithm is too rigid and does not reflect the intel igent advantage of the algorithm,thus using the genetic algorithm (Geneticalgorithm, referred to as GA)to optimize the parameters of the estimation model,making it flexible,intel igent,and more in line with the needs of practical engineering modeling.