| 生物群体智能优化的投影寻踪模型在灌区水资源综合效益研究中的应用 |
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| 引用本文： | 许准,郭晓亮,徐昕,董壮,田浪. 生物群体智能优化的投影寻踪模型在灌区水资源综合效益研究中的应用[J]. 水资源保护, 2016, 32(3): 38-43 |
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| 作者姓名： | 许准 郭晓亮 徐昕 董壮 田浪 |
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| 作者单位： | ;1.河海大学水利水电学院;2.河海大学南方地区高效灌排与农业水土环境教育部重点实验室;3.湖北省水利水电规划勘测设计院 |
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| 摘 要： | 将高维降维技术的投影寻踪模型引入到灌区水资源综合效益的研究中,并采用生物群体智能算法对投影寻踪模型进行优化,以提高投影寻踪模型的准确度。以经济效益、生态环境效益以及社会效益3方面建立指标体系,并提出了5类等级标准。以漳河灌区为例,利用所建模型对该灌区水资源综合效益进行研究,并对不同指标的贡献度进行了分析。结果表明,漳河灌区2013年的综合效益等级为等级Ⅲ(一般);在灌区水资源综合效益研究方面,优化后的投影寻踪模型具有较好的实用性和可信性。
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| 关 键 词： | 生物群体智能 免疫蛙跳算法 投影寻踪模型 水资源综合效益 漳河灌区 |
| 收稿时间： | 2015-09-16 |
Application of projection pursuit classification model basing on biological swarm intelligence in comprehensive benefit research of water resources in irrigation district |
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| XU Zhun,GUO Xiaoliang,XU Xin,DONG Zhuang and TIAN Lang. Application of projection pursuit classification model basing on biological swarm intelligence in comprehensive benefit research of water resources in irrigation district[J]. Water Resources Protection, 2016, 32(3): 38-43 |
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| Authors: | XU Zhun GUO Xiaoliang XU Xin DONG Zhuang TIAN Lang |
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| Affiliation: | College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China; Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment in Southern China, Hohai University, Nanjing 210098, China,Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute, Wuhan 430064, China,College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China; Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment in Southern China, Hohai University, Nanjing 210098, China,College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China and College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China |
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| Abstract: | The dimensionality reduction technology of projection pursuit classification(PPC)model, which was optimized by the biological swarm intelligence algorithm for improving the accuracy, was introduced into the comprehensive benefit research of water resources in irrigation district. An evaluation index system was established by taking three aspects into consideration, including the economic benefit, ecological environment benefit and social benefit, and five levels of evaluation criteria were proposed. Taking the Zhanghe Irrigation District as an example, the comprehensive benefit research of water resources was studied using the built model, and the contribution degree of different indices was analyzed. Results show that the comprehensive benefit of water resources in the Zhanghe Irrigation District in 2013 is of grade III(general). The optimized PPC model is with better usability and credibility in the comprehensive benefit research of water resources in irrigation district. |
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| Keywords: | biological swarm intelligence immune shuffled frog leaping algorithm projection pursuit classification model comprehensive benefit of water resources Zhanghe Irrigation District |
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