人工神经网络在空气污染预报中的研究进展

Progress of Research on Artificial Neural Network in Air Pollution Prediction

人工神经网络是20世纪80年代迅速兴起的一门非线性科学,特别适用于对具有多因素性、不确定性、随机性、非线性等特点的对象进行研究,而空气污染预报正是这样的一类问题。简单介绍了人工神经网络的基本概念,详细地回顾了国内外人工神经网络在空气污染预报领域的研究应用情况,最后讨论了人工神经网络在空气污染预报领域中的研究方向和发展趋势。

The artificial neural network, which rapidly sprung up in the 1980s, is a non-linear science. It is especially suitable for the research on the objects with the characteristics of muhi-factors, uncertainty, randomness, nonlinearity, and so on. And the air pollution prediction is just this class of problem. The fundamental conception of artificial neural network is briefly described; the research progress of air pollution prediction based on artificial neural network is reviewed in detail. At last, further research directions of artificial neural network in air pollution prediction are provided.