人工神经网络方法在拟建小区域环境质量评价中的应用  

The Application of Artificial Neural Network in Environment Quality Evaluation in Small Area of City

作　　者：孙家振[1] 徐平[2] 

机构地区：[1]四川省交通厅交通勘察设计研究院,成都610017 [2]西南交通大学环境科学与工程学院,成都610031

出　　处：《工业安全与环保》2009年第1期51-53,共3页Industrial Safety and Environmental Protection

摘　　要：人工神经网络的评价方法用于小区域环境质量评价中,根据本地区特点因地制宜地选择环境质量参数,代入模型中进行环境质量评价及预测,对用于环境质量评价的BP人工神经网络模型进行了改进,即对网络模型的训练样本进行了扩充,从而提高了模型的抗干扰能力和准确性。将改进了的BP人工神经网络模型应用于四川省资阳市沱江二桥拟建项目小区域的大气、地表水环境质量评价中,对该市小区域大气、地表水环境质量状况进行评价,评价结果表明,BP人工神经网络模型用于环境质量评价是可行的,且评价结论客观,评价模型普遍适用。Artificial neural network evaluation method is applied in small area of environmental quality evaluation, in which the environment quality parameters are selected according to characteristics of the local area and putted into the model to assess and predict the environment quality. BP model used in the evaluation is improved, in which the training samples of the model are enlarged, so the anti - disturbance capability and accuracy of the model is enhanced. The improved BP model is applied in air and ground water environment quality evaluation of the second bridge area of the Tan River in Ziyang, Sichuan, the air and ground water environmental quality of the small area of this city is evaluated and the results show that the use of BP artificial neural network model in environmental quality evaluation is feasible, the assessment conclusions are objective and the model is coramouly applicable.

关 键 词：环境质量评价 人工神经网络 BP模型 大气环境质量 地面水环境质量 

分 类 号：X821[环境科学与工程—环境工程] TS941.732[轻工技术与工程—服装设计与工程]