| 自压式树状管网的两级优化设计模型与神经优化设计 |
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| 引用本文： | 周荣敏,林性粹.自压式树状管网的两级优化设计模型与神经优化设计[J].节水灌溉,2001,1(2):1-3. |
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| 作者姓名： | 周荣敏 林性粹 |
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| 作者单位： | 1. 郑州工业大学,
2. 西北农林科技大学, |
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| 摘 要： | 建立了自压式树状管网两级优化设计模型，并用人工神经网络法实现树状管网非线性规划模型的快速求解。采用的人工神经网络技术的两级优化设计模型在适用范围、求解速度和获得最优解能力上，均优于单一的非线性规划模型和线性规划模型，是实现树状管网全局优化设计的一条新途径。
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| 关 键 词： | 树状管网 两级优化模型 人工神经网络 优化设计 |
| 文章编号： | 1007-4929(2001)02-0001-03 |
| 修稿时间： | 2001年1月2日 |
Two-level Optimal Design Model and Artificial Neural Networks Optimal Design of Gravity Tree Pipe Network |
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| Zhou Rongmin,Lin Xingcui.Two-level Optimal Design Model and Artificial Neural Networks Optimal Design of Gravity Tree Pipe Network[J].Water Saving Irrigation,2001,1(2):1-3. |
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| Authors: | Zhou Rongmin Lin Xingcui |
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| Abstract: | This paper set up a two-level optimal design model of gravity tree pipe network and the nonlinear programming model was solved quickly by the method of artificial neural networks.The two-level optimal design model adopting the technique of artificial neural networks is superior to the single nonlinear programming model and linear programming model in the application scopes, speed of solving and the capability of acquiring optimal solution. It's a new way to realizing the global optimal design of tree pipe networks. |
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| Keywords: | tree pipe network two-lever optimal design model artificial neural networks |
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