宋松柏, 蔡焕杰. 区域水资源可持续利用评价的人工神经网络模型[J]. 农业工程学报, 2004, 20(6): 89-92.
    引用本文: 宋松柏, 蔡焕杰. 区域水资源可持续利用评价的人工神经网络模型[J]. 农业工程学报, 2004, 20(6): 89-92.
    Song Songbai, Cai Huanjie. Artificial neural network model for assessing the sustainable utilization of regional water resources[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(6): 89-92.
    Citation: Song Songbai, Cai Huanjie. Artificial neural network model for assessing the sustainable utilization of regional water resources[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(6): 89-92.

    区域水资源可持续利用评价的人工神经网络模型

    Artificial neural network model for assessing the sustainable utilization of regional water resources

    • 摘要: 根据给定的水资源可持续利用评价等级标准,采用随机技术模拟生成足够数量的评价指标序列,应用BP网络模型,以评价指标生成序列和其所属的评价等级值来建立评价模型,并进行了实例研究。结果表明,建立的模型实用、可操作性强,可以用于区域水资源可持续利用评价。

       

      Abstract: In this paper, an artificial neural network model was used to assess sustainable utilization of regional water resources. First, stochastic method was used to form enough assessment indexes sequence. Second, by using back-propagation networks, assessment indexes sequences and their assessment grade values were considered as input layer units and output layer units to deveiop artificial neural network assessment model. Finally, the model was applied to assess sustainable utilization of water resources in Hanzhong basin and Huaihe watershed in China. The assessment results showed that the model was practical and convenient to use. It is feasible to use the model to assess the sustainable utilization of regional water resources.

       

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