节点文献
自压式树状管网的两级优化设计模型与神经优化设计
Two-level Optimal Design Model and Artificial Neural Networks Optimal Design of Gravity Tree Pipe Network
【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
【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.
【关键词】 树状管网;
两级优化模型;
人工神经网络;
优化设计;
【Key words】 tree pipe network; two-lever optimal design model; artificial neural networks;
【Key words】 tree pipe network; two-lever optimal design model; artificial neural networks;
- 【文献出处】 节水灌溉 ,Water Saving Irrigation , 编辑部邮箱 ,2001年02期
- 【分类号】S275
- 【被引频次】28
- 【下载频次】139