• ▶ 2008-2024年被中国情报信息研究所评价中心评为“中国科技核心期刊”
  • ▶ 2019-2024年连续三届被中国科学院文献情报中心中国科学引文数据库CSCD(核心库)收录
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  • ▶ 2020-2024连续四年入选《科技期刊世界影响力指数(WJCI)报告》
胡 昌 军.双隐层BP神经网络模型在区域水安全评价中的应用水资源与水工程学报[J].,2013,24(3):196-200
双隐层BP神经网络模型在区域水安全评价中的应用
Application of two- hidden layer BP neural network model in evaluation of regional water safety
投稿时间:2013-01-11  修订日期:2013-01-28
DOI:10.11705/j.issn.1672-643X.2013.03.046
中文关键词:  BP神经网络  双隐层  水安全评价  文山州
英文关键词:BP neural network  double hidden layer  water safety evaluation  Wenshan of Yunnan Province
基金项目:
作者单位
胡 昌 军 云南省麻栗坡县水务局, 云南 麻栗坡 663600 
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中文摘要:
      基于BP神经网络的基本原理和方法,构建双隐层BP神经网络水安全评价模型。以相关文献资料进行模型评价效果验证。验证表明:所建立的双隐层BP评价模型和评价方法是合理可行的,是一种可以运用的区域水安全评价方法。基于此模型,结合丰水地区区域实际,利用层次分析法构建了符合丰水地区水安全评价的指标体系和标准,以文山州区域水安全评价为例进行分析。结果表明:文山州各评价区域不同规划水平年水安全评价等级为Ⅳ~Ⅱ级,即处于不安全与安全之间,客观反映了文山州现状及中、长期水安全状况,符合区域实际,评价结果可作为研究区域水安全评价的参考依据。
英文摘要:
      Based on the basic principle and method of BP neural network, this paper built the water security evaluation model of BP neural network of double hidden layers. The evaluation model was verified by relevant literature. The results shows that the evaluation model and method of double hidden layer BP is reasonable and feasible and is a regional water security evaluation method witch can be used. Based on this model, combined with the situation of wet areas, the paper set up a water safety evaluation index system and standard by using analytic hierarchy process, and evaluated the water security by taking Wenshan for example. The results show that water safety evaluation grade at each evaluation region of Wenshan in different level years is Ⅱ-Ⅳ, which is between unsafe and safe and reflects the objective situation and medium and long-term water security condition of the area,and is consistent with regional actual, evaluation results can be used as regional water security evaluation reference for research area.
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