基于人工神经网络的非线性回归预测模型的研究

将人工神经网络引入回归分析过程，探讨了回归分析神经网络的结构和学习算法，研究了基于人工神经网络的模型变量的选择观测样本的采集和使用等，进行了仿真实验，仿真结果初步显示了神经网络方法能够较好地解决传统的回归方法所面临的困难，并具有较高的模型度。

Research on Non-linear Regression Forecast Models Based on Artificial Neural Networks

By introducing artificial neural network to regression analysis processes,this article discusses the construction of regression analysis neural network and learningalgorithm, studies the choice of variables in the models based on artificial neuralnetworks, and the collection and use of observed samples. An experiment on emulationis carried out which proves that preliminarily the neural networks method can solve theproblems better than the traditional regression method; moreover a higher degree of precision is achieved.