计算机与数字工程2019，Vol.47Issue(7)：1618-1621,4.DOI:10.3969/j.issn.1672-9722.2019.07.012
基于模糊神经网络的节水灌溉模型的研究
Research on Water-saving Irrigation Model Based on Fuzzy Neural Network
乔雯雯 1吴陈 1马田1
作者信息
- 1. 江苏科技大学计算机学院 镇江 212000
- 折叠
摘要
Abstract
With the development of technology,the progress of science and technology has led to the rapid development of var?ious industries. The agriculture of people＇s livelihood is also the object of attention. It is hoped that not only the development of agri?culture enables people to eat green,healthy food,more hope in China for an agricultural country,but also can realize water-saving irrigation in crop management such as irrigation. Fuzzy system can efficiently simulate the human thinking process of reasoning, however,the neural network can handle down in the process of self learning and adaptive,and fuzzy neural network is a combina?tion of advantages,which can well solve the problem of water demand. In this paper,T-S fuzzy neural network is used to train and experiment water-saving irrigation model.关键词
模糊神经网络/节水灌溉/T-S模糊神经网络Key words
fuzzy neural network/water-saving irrigation/T-S fuzzy neural network分类
信息技术与安全科学引用本文复制引用
乔雯雯,吴陈,马田..基于模糊神经网络的节水灌溉模型的研究[J].计算机与数字工程,2019,47(7):1618-1621,4.
