采用基于人工神经网络的两级优化设计模型 ,对自压式灌溉管网进行优化设计 ,并分析了不同灌溉工作制度对管网投资的影响。研究表明 ,通过灌溉管网优化设计 ,可以得到不同灌溉工作制度下的管网投资最小的优化设计结果。与原始设计方案相比能够节约大量的投资 ,并可用于选择合理的灌溉工作制度。 Based on the two-level optimization design model based on artificial neural network, the self-pressured irrigation pipe network is optimized and the influence of different irrigation work system on pipe network investment is analyzed. The results show that the optimized design of irrigation pipe network can get the optimal design result of the pipe network investment under the different irrigation work system. Compared with the original design can save a lot of investment, and can be used to choose a reasonable irrigation system.