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简述了模糊优选法原理和模糊优选BP神经网络模型的建立过程,比较该模型与一般BP神经网络模型的异同,认为前者优于后者。根据龙羊峡水库坝面钻孔水样的环境稳定同位素和温度数据,应用模糊优选BP神经网络模型分析了坝区地下水渗流场分布特征和水力树立补给关系,计算结果与通过人工同位紊以及和温度示踪等方法的分析结论一致。
The principle of fuzzy optimization method and the establishment of fuzzy optimal BP neural network model are briefly described. The similarities and differences between this model and the general BP neural network model are compared. The former is superior to the latter. According to the environmental stable isotope and temperature data of water samples in the dam surface of Longyangxia Reservoir, the fuzzy optimal BP neural network model is used to analyze the distribution characteristics of groundwater seepage field in dam area and the relationship between the hydraulic establishment and the supply. The calculated results are compared with those obtained by artificial co- Temperature tracking and other methods of analysis of the same conclusion.