神经网络在空气污染预报中的研究进展

Research Progress of Neural Network in Air Pollution Prediction

摘要: 空气污染预报是一项复杂的系统工程，是当今环境科学研究的热点，国内外已有将神经网络法应用于大气污染预报的研究。人工神经网络(Artificial Neural Network，即ANN)，是20世纪80年代以来人工智能领域兴起的研究热点。它从信息处理角度对人脑神经元网络进行抽象，建立某种简单模型，按不同的连接方式组成不同的网络。在工程与学术界也常直接简称为神经网络或类神经网络。本论文旨在综述神经网络在空气污染预报中的研究进展，探讨其在空气污染预报领域的未来展望。

Abstract: Air Pollution Forecast is a complicated systems engineering, and it is a hotspot of environmental science research. The neural network method has been applied to air pollution forecast at home and abroad. Artificial Neural Network (ANN) is a research hotspot in the field of Artificial intelligence since 1980s. It abstracts the neural network of human brain from the angle of information processing, builds some simple model, and forms different networks according to different connection ways. In engineering and academic circles, it is often referred to as neural network or neural-like network. The purpose of this paper is to summarize the research progress of neural network in air pollution forecasting and discuss its future prospect in the field of air pollution forecasting.