Construction and application of PPCNN model in evaluating sustainable utilization for regional water and soil resources——taking Sanjiang Plain in China as a case(区域水土资源可持续利用评价的脉冲耦合神经网络(PCNN)模型模糊算法的构建与应用)

Construction and application of PPCNN model in evaluating sustainable utilization for regional water and soil resources——taking Sanjiang Plain in China as a case(区域水土资源可持续利用评价的脉冲耦合神经网络(PCNN)模型模糊算法的构建与应用)

针对三江平原水土资源区域特点,选择了 20个指标,建立了水土资源评价指标体系和标准；对脉冲耦合神经网络模型（PCNN模型）进行了改进,提出基于模糊算法的F-PCNN模型,动态阈值等于区域水土资源评价标准的等级范围,省略了不必要的参数,减少了模型的复杂度,并应用于三江平原水土资源评价中.分析结果表明三江平原创业农场水土资源可持续利用评价等级为II级,说明水土资源开发和利用较合理,可持续发展能力较强.应用结果说明F-PCNN模型在三江平原水土资源可持续利用评价中是可行的,既拓展了 PCNN的应用领域,又为解决水土资源的分类、评价问题提供了新的思路和方法....

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Bibliographic Details
Main Authors: SUAn-yu(苏安玉), PULi-jie(濮励杰), PENGBu-zhuo(彭补拙), FUQiang(付强)
Format: Article
Language:zho
Published: Zhejiang University Press 2009-05-01
Series:Zhejiang Daxue xuebao. Lixue ban
Subjects:
脉冲耦合神经网络
模糊算法
三江平原
水土资源评价
Online Access:https://doi.org/10.3785/j.issn.1008-9497.2009.03.020

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