人工神经网络在混沌观测时序数据处理中的应用

人工神经网络是用来模拟人脑智能特点和结构的一种模型，具有很强的非线性映射功能。把它引用到观测序列数据的分析处理中，可为观测数据的分析处理提供一种新方法的方法，也是对人工神经网络方法应用的推广。文中分析了时间序列的可预测性，给出了用人工神经网络预测和处理混沌观测时间序列的方法，并给出了应用实例。结果表明：用该方法处理能达到较高的精度。

Application of Neural Network to Analysis and Treatment of Chaotic Observation Time Series

Artificial neural network(ANN) is used to imitate the structure and intelligence feature of human brain, and of strong nonlinear mapping function. It is not only an extension of the application of ANN model but also a new try for the treatment of observation data that we use ANN in the analysis and treatment of observation data. In this paper, we analyze the predictability of time series and give a method of application of ANN in chaotic observational time series. Finlly, we give some examples for application. The results show that the precision can meet the needs of practical task.