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| 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——以中国三江平原为例 | |
| 引用本文： | 苏安玉,濮励杰,彭补拙,付强. 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——以中国三江平原为例[J]. 浙江大学学报(理学版), 2009, 36(3). DOI: 10.3785/j.issn.1008-9497.2009.03.020 |
| 作者姓名： | 苏安玉 濮励杰 彭补拙 付强 |
| 作者单位： | 1. 南京大学地理与海洋科学学院,江苏,南京,210093;东北农业大学,黑龙江,哈尔滨,150030 2. 南京大学地理与海洋科学学院,江苏,南京,210093 3. 东北农业大学,黑龙江,哈尔滨,150030 |
| 基金项目： | 国家自然科学基金，黑龙江省青年科学基金攻关项目 |
| 摘 要： | 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. |
| 关 键 词： | 脉冲耦合神经网络 模糊算法 三江平原 水土资源评价 |
Construction and application of F-PCNN model in evaluating sustainable utilization for regional water and soil resources--taking Sanjiang Plain in China as a case |
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| SU An-yu,PU Li-jie,PENG Bu-zhuo,FU Qiang. Construction and application of F-PCNN model in evaluating sustainable utilization for regional water and soil resources--taking Sanjiang Plain in China as a case[J]. Journal of Zhejiang University(Sciences Edition), 2009, 36(3). DOI: 10.3785/j.issn.1008-9497.2009.03.020 | |
| Authors: | SU An-yu PU Li-jie PENG Bu-zhuo FU Qiang |
| Affiliation: | 1.School of Geographic and Oceanographic Science;Nanjing University;Nanjing 210093;China;2.Northeast Agricultural University;Harbin 150030;China |
| Abstract: | In allusion to the regional characteristics of the resources in Sanjiang Plain,20 index have been chosen and the homologous system and criterion have been established,the Pulse Coupled Neural Network(PCNN) have been improved,and a new fuzzy PCNN model(F-PCNN) has been given,making dynamic thresholds equal to classes range of the evaluating criterion of regional water and soil resources to omit needless parameters and decrease complexity of the model.After the F-PCNN model was used to evaluate water and soil... |
| Keywords: | PCNN fuzzy algorithm Sanjiang Plain water and soil resources evaluation |
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