地下水环境质量评价的神经网络研究

NEURAL NETWORK STUDY FOR ENVIRONMENT QUALITY ASSESSMENT OF GROUND WATER

摘要: 基于模糊综合评判法和灰色聚类法的不足,应用神经网络理论与方法建立了地下水环境质量评价B-P网络模型,并用该模型对某地区的地下水环境质量作了评价。结果表明,该方法运用简便、精确可靠、可判性强。

Abstract: For fuzzy comprehensive evaluation and gray cluster analysis are insufficient,the paper presents B-P neural network model for assessing the environment quality of ground water.The assessment results of ground water environment quality of an example shows that it is convenient,precise and reliable to assess environment quality by using B-P neural network.