Research of irrigation control system based on fuzzy neural network
Research of irrigation control system based on fuzzy neural network
复制标题
基于模糊神经网络的灌溉控制系统研究
DOI：
10.1109/mec.2011.6025437
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
L. Yue
中科院分区：
文献类型：
--
作者：
Guifen Chen;L. Yue
节水是节水灌溉工程的重要组成部分。本文提出了一种智能灌溉控制系统，并将模糊系统和神经网络相结合构成智能控制系统。针对节水灌溉技术，该方法不仅弥补了神经网络在处理模糊数据方面的不足，而且有效地解决了模糊逻辑在自学习方面的不足。该智能控制灌溉系统结合了计算、逻辑推理、分布式处理和非线性动态过程。该系统采用智能化控制用水量，既避免了浪费，又保证了作物灌浆的要求。同时，对于灌区的智能控制，减少了人的操作力，农业生产也增加了。
Saving water is vital for water-saving irrigation project. The paper proposed an intelligent irrigation control system and combined fuzzy system and neural network to intelligent control system. Aimed at water-saving irrigation technology, the new method not only can offset the deficiency of neural network in processing the fuzzy data, but also can effectively resolve the disability of fuzzy logic on self-learning. This intelligent control irrigation system combined with calculation; logic reasoning; distributed processing and non-linear dynamics process. The system control the water consumption with intelligent way, this way avoids the waste water and ensure the requirements of the crop grout. At the same time, as to the intelligent control to the irrigation area, the human operating strength has been reduced and the agricultural production also increased.