基于神经网络的万年县节水灌溉适宜技术选择研究 |
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引用本文: | 孙萍,黄彬彬. 基于神经网络的万年县节水灌溉适宜技术选择研究[J]. 安徽农业科学, 2011, 39(35): 21962-21964 |
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作者姓名: | 孙萍 黄彬彬 |
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作者单位: | 1. 安徽水利水电职业技术学院,安徽合肥,231603 2. 南昌工程学院水文水资源与水环境省级重点实验室,江西南昌,330099 |
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摘 要: | 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。
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关 键 词: | 模糊神经网络 遗传算法 节水灌溉 优选 |
Study on the Water-saving Suitable Technique for Wannian County Based on Fuzzy Neural Network |
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Affiliation: | SUN Ping et al(Anhui Water Conservancy Technical College,Hefei,Anhui 231603) |
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Abstract: | 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. |
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Keywords: | Fuzzy neural network Genetic algorithm Water-saving irrigation Optimal choice |
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