基于ChebysheV神经网络的非线性预测应用研究

摘要

将Chebyshev神经网络作为非线性时间序列的辨识模型，通过对过去序列样本的学习，调整网络的权值，然后预测和推断未来的序列，仿真结果表明，Chebyshev神经网络具有优良的泛化能力和预测功能。%In this paper, we predicted and deduced the future series by training the past its and adjusting the weight of networksusing Chebyshev neural networks as the identification model on the nonlinear time series. The simulation results show that theChebyshev neural networks own good generalization and predictive ability,