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基于BP神经网络的农村饮用水水源地水质评价
引用本文:伊璇,孙安帅,宿立明,庞清江. 基于BP神经网络的农村饮用水水源地水质评价[J]. 水利经济, 2011, 29(5): 65-67. DOI: 10.3969/j.issn.1003-9511.2011.05.018
作者姓名:伊璇  孙安帅  宿立明  庞清江
作者单位:1. 武汉大学水利水电学院,湖北武汉,430072
2. 山东农业大学水利土木工程学院,山东泰安,271018
基金项目:山东省教育厅重点项目(J06N05); 泰安市大学生科技新行动计划(2010D1010)
摘    要:通过构建BP人工神经网络模型,进行训练识别,应用于评价水源地水质。结果表明:基于BP人工神经网络的农村饮用水水源地水质评价能够改善其他水源地水质评价方法带来的不足,较好地改善评价对全局性的寻优能力,做到合理全面地评价水源地水质。同时,模型反映出了水源地水质变化的复杂性和可模拟性,提高了对水源地水质评价的可靠性和有效性。

关 键 词:农村饮用水  水源地  水质评价  BP神经网络
修稿时间:2011-10-13

Evaluation of water quality in water source areas for rural drinking water based on BP neural network
YI Xuan,et al. Evaluation of water quality in water source areas for rural drinking water based on BP neural network[J]. Journal of Economics of Water Resources, 2011, 29(5): 65-67. DOI: 10.3969/j.issn.1003-9511.2011.05.018
Authors:YI Xuan  et al
Affiliation:YI Xuan,et al(College of Hydrology and Water Resources,Wuhan University,Wuhan 430072,China)
Abstract:A BP neural network model was established and trained to be applied in the evaluation of water quality in water source areas.The results indicate that the evaluation of water quality in water source areas for rural drinking water based on the BP neural network can avoid the disadvantages of other evaluation methods and improve the global optimization ability of the evaluation,and it can be adopted to rationally and fully evaluate the water quality in water sources areas.Meanwhile the model reflects the nonl...
Keywords:rural drinking water  water source area  water quality evaluation  BP neural network  
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