Chaos genetic algorithm (CGA) is an improved algorithm that introduces chaos variable to genetic algorithm by the full use of its ergodic property.

• 采用混沌遗传算法(CGA)训练径向基函数网(RBFN),并均衡地兼顾网络的拟合与预报能力,恰当地设计适应度函数,由此建成的CGA-RBFN模型,其预测能力与稳健性都有提高。