【摘要】 基于人工神经网络理论采用误差反向传播的BP算法建立地下水质量评价模型,充分利用神经网络的"黑箱特性",取6种地下水水质评价指标对肥城市地下水质量进行评价,并将BP算法结果与综合指标法以及模糊评价法结果进行比较,表明一致效果良好;同时该模型能起到优化状态的作用。更多还原

【Abstract】 This paper makes a prospect of the ANN’ future development based on reviewing the history of ANN.In addition,it also analyzes the discrepancy between the ANN and other methods.Many researches on methods for environmental quality assessment have been done in the past years,but most of the methods lack maneuverability.The traditional assessing methods used in practical works had emerged a certain extent localization and irrationality.This research tries to apply artificial neural networks(ANN for short) theory into environmental quality assessment,sets up an environmental quality assessment model based on Error Back Propagation arithmetic and analyzes the different results from different methods by using them into practical works.Meanwhile,ANN shows good optimizing effecting corresponding to Fuzz model and comprehensive index method.更多还原