【摘要】 考虑到不同神经网络模型误差对混沌控制效果的影响,提出了采用一种改进的递阶遗传算法对径向基函数(RBF)神经网络进行训练,针对连续的Lorenz系统进行了仿真,并且与其它神经网络训练算法结果进行了比较,仿真结果证明所采用的训练算法具有更加理想的混沌控制效果。更多还原

【Abstract】 Considering the different neural network model errors upon chaotic system control precision,an(improved) hierarchy genetic-based RBF neural network is presented.The simulations with Lorenz system are studied,and the results are compared with other training algorithms.The results show the effectiveness of this method.更多还原