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通过分析我国灌区和渠系现状,提出有关渠系优化的必要性,将Hopfield神经网络引入灌溉渠系密度优化过程中,进一步将货流问题与渠道输水问题的基本思想进行对比,初步提出Hop-field神经网络应用于渠系密度优化中的可行性,建立渠系优化的网络能量函数。
By analyzing the status quo of irrigation district and canal system in our country, the necessity of canal system optimization is put forward. The Hopfield neural network is introduced into the process of density optimization of irrigation canal system. The basic idea of the problem of freight flow and channel water conveyance is further compared. Hop- field neural network applied to the optimization of canal density is feasible and the network energy function of canal optimization is established.