摘要
本文针对城市土壤重金属污染问题,以长春市为例运用人工神经网络理论及方法,建立土壤环境质量评价的BP人工神经网络模型,通过实例分析,并将评价结果与模糊综合评判结果进行了比较,说明运用该模型评价土壤环境质量不但能使评价结果精度大大提高,而且是切实可行的。
This paper mainly analysis the problem of heavy metal contamination of urban soils of Changchun City, using artificial neural network theory and methods, establishing the soil environmental quality assessment of BP artificial neural network model, through analysising examples and comparing the results of evaluation and fuzzy comprehensive evaluation, the results showed that the using of the model to evaluate the quality of the soil environment can not only greatly enhance the accuracy of evaluation results, but also is practicable.
出处
《环境研究与监测》
2009年第4期70-72,共3页
Environmental Research and Monitoring
