BP神经网络在大气环境质量评价中的应用研究  

BP Neural Network Applied Research in the Air Environment Quality Assessment

作　　者：王红芳[1] 康慕宁[1] 邓正宏[1] 

机构地区：[1]西北工业大学计算机学院,西安710072

出　　处：《科学技术与工程》2009年第7期1997-2000,共4页Science Technology and Engineering

摘　　要：针对城市大气环境质量问题,运用人工神经网络理论和方法,建立城市大气环境质量评价的BP神经网络模型。通过实例进行评价分析,说明用BP神经网络方法评价城市大气环境质量是可行的。该模型具有很强的学习、联想和容错功能,其分析结果和过程都接近人脑的思维过程和分析方法,使得城市大气环境质量评价结果的精度大大提高。According to ANN theory and method,a BP neural network model for city atmospheric environment quality evaluation was built.The result shows that the application of BP neural network in city atmospheric environment quality evaluation is feasible.This model possesses strong functions of study,association and fault tolerance,moreover,both its analysis results and process approach the metal process and analysis method of human brain,which greatly improves the accuracy for city environment quality evaluation.

关 键 词：BP神经网络 大气环境质量评价 MATLAB 

分 类 号：X651[环境科学与工程]