基于神经网络的万年县节水灌溉适宜技术选择研究

针对节水灌溉适宜技术的优选问题,采用模糊系统和神经网络相结合的方法,利用遗传算法对模糊神经网络参数进行了优化,并根据最终计算结果的大小评价了节水灌溉技术的适宜程度。该方法最大程度地避免了模糊综合评判中权重矩阵取值的人为干扰,取得了良好效果,最终确定万年县大港桥灌区的最优灌溉方案为管道灌溉。该方法为节水灌溉适宜技术提供了一种新的方向和思路。

Study on the Water-saving Suitable Technique for Wannian County Based on Fuzzy Neural Network

Using fuzzy system and neural network,the parameters of neural network were optimized by genetic algorithm,which could solve the problem of suitable technique choices for water-saving irrigation.The compute results of the program were used to evaluate the grade that the water-saving irrigation technique suited to Dagangqiao irrigation district in Wannian County.This method avoided the human interference of weighting matrix value in fuzzy integrated evaluation and achieved a good result.At last,the most optimal suitable water-saving technique for Dagangqiao irrigation district was pipeline irrigation.The decision-making program offered a new way for how to choose the optimal water-saving technique.