基于模糊神经网络的节水灌溉模型的研究
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摘要
随着现在技术的发展,科技的进步促使各个行业都在飞速的发展。而民生之本的农业也是大家关注的对象。不仅仅希望农业的发展使得人们能吃上绿色、健康的食物,更希望在对于一个农业大国的中国来说,在农作物管理例如灌溉上能实现节水灌溉[1]。模糊系统可以高效地模拟人类的思维的推理的过程[2],然而神经网络可以很好地处理推倒过程中的自学习和自适应的问题,于是模糊神经网络结合了两者的优点,可以很好地解决需水量的问题。论文将采用T-S模糊神经网络对节水灌溉模型进行训练和实验。
With the development of technology,the progress of science and technology has led to the rapid development of various industries. The agriculture of people's livelihood is also the object of attention. It is hoped that not only the development of agriculture 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 combination 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.
With the development of technology,the progress of science and technology has led to the rapid development of various industries. The agriculture of people's livelihood is also the object of attention. It is hoped that not only the development of agriculture 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 combination 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.
引文
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[9]何兰香.基于T-S模型的模糊神经网络局部放电模式识别方法[D].哈尔滨:哈尔滨理工大学,2009:20-30.HE Lanxiang. Partial Discharge Pattern Recognition Based on Fuzzy Neural Network Based on T-S Model[D].Harbin:Harbin University of Science and Technology,2009:20-30.
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[11]俞锦梅.数据挖掘在国内图书馆应用领域研究综述[J].图书与情报,2015(02):137-141.YU Jinmei. Review of Data Mining in the Field of Domestic Library Applications[J].图书与情报,2015(02):137-141.
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[13]张铁芳.蔬菜节水栽培法[J].农村新技术,1999(10):5.ZHANG Tiefang. Water-saving cultivation of vegetables[J]. New Technology in Rural Areas,1999(10):5.
[14]龚元石,李子忠,李春友.应用时域反射仪测定作物需水量和作物系数[J].中国农业大学学报,1998(05):61-67.GONG Yuanshi,LI Zizhong,LI Chunyou. Determination of Crop Water Requirement and Crop Coefficient by Time Domain Reflectometry[J]. Journal of China Agricultural University,1998(05):61-67.
[15]曾维银.高山蔬菜节水栽培技术[J].上海蔬菜,2010(05):22-23.ZENG Weiyin. Harpine Vegetable Water-saving Cultivation Techniques[J]. Shanghai Vegetables,2010(05):22-23.
[16]齐述华,李子忠,龚元石.应用农田水量平衡原理计算三种蔬菜的需水量和作物系数[J].中国农业大学学报,2002(01):71-76.QI Shuhua,LI Zizhong,GONG Yuanshi.Application of farmland water balance principle to calculate water requirement and crop coefficient of three vegetables[J].Journal of China Agricultural University,2002(01):71-76.
[17]李翔,陈增强,袁著祉.神经网络结构的递归T-S模糊模型[J].系统工程学报,2001(04):268-274.LI Xiang,CHEN Zengqiang,YUAN Zengzhi. Recursive T-S fuzzy model of neural network structure[J]. Journal of Systems Engineering,2001(04):268-274.
[18]程冰.模糊神经网络研究[D].广州:广东工业大学,2005:22-29.CHENG Bing. Research on Fuzzy Neural Networks[D].Guangzhou:Guangdong University of Technology,2005:22-29.
[19]陈梦樵.基于T-S模糊神经网络的飞机防滑刹车系统研究[D].长沙:中南大学,2014:12-30.CHEN Mengchiao. Research on Aircraft Skid-proof Braking System Based on T-S Fuzzy Neural Network[J]. Changsha:Zhongnan University,2014:12-30.
[20]杨璐.随机T-S模糊神经网络的稳定性分析[D].秦皇岛:燕山大学,2012:11-33.YANG Lu. Stability Analysis of Stochastic T-S Fuzzy Neural Networks[D]. Qinhuangdao:Yanshan University,2012:11-33.
[2]张凯,钱锋,刘漫丹.模糊神经网络技术综述[J].信息与控制,2003(05):431-435.ZHANG Kai,QIAN Feng,LIU Mandan. Overview of fuzzy neural network technology[J]. Information and control,2003(05):431-435.
[3]孙月峰,闫雅飞,张表志,等.基于T-S模型的模糊神经网络城市需水量预测方法研究[J].安全与环境学报,2013,13(02):136-139.SUN Yuefeng,YAN Yatfei,ZHANG Biaozhi,et al. Research on the prediction method of urban water demand in fuzzy neural network based on t-s model[J]. Journal of safety and environment,2013,13(02):136-139.
[4]吴孟圆.大并发连接数的蔬菜大棚远程监控系统设计[D].哈尔滨:哈尔滨理工大学,2017:23-49.WU Mengyuan. Remote monitoring system design of vegetable sheds with large number of concurrent connections[D]. Harbin:Harbin Institute of Technology,2017:23-49.
[5]齐述华,李子忠,龚元石.应用农田水量平衡原理计算三种蔬菜的需水量和作物系数[J].中国农业大学学报,2002(01):71-76.QI Shuhua,LI Zizhong,GONG Yuanshi. Application of farmland water balance principle to calculate water requirement and crop coefficient of three vegetables[J].Journal of China Agricultural University,2002(01):71-76.
[6]杨玉琴.基于数据挖掘的设施蔬菜水肥智能决策系统的研究与实现[D].长春:吉林农业大学,2016:29-22.YANG Yuqin. Research and Realization of Vegetable Water and Fertilizer Intelligent Decision-making System Based on Data Mining[J]. Changchun:Jilin Agricultural University,2016:29-22.
[7]钱宇.模糊系统理论的工业应用──(1)模糊系统的基本理论和方法[J].化工进展,1995(04):50-54.QIAN Yu.Industrial Applications of Fuzzy Systems Theory-(1)The Basic Theory and Methods of Fuzzy Systems[J]. Progress in Chemistry,1995(04):50-54.
[8]张宇,卢文喜,陈社明,等.基于T-S模糊神经网络的地下水水质评价[J].节水灌溉,2012(07):35-38.ZHANG Yu,LU Wenxi,CHEN Sheming,et al. Groundwater Quality Evaluation Based on T-S Fuzzy Neural Network[J]. Water Saving Irrigation,2012(07):35-38.
[9]何兰香.基于T-S模型的模糊神经网络局部放电模式识别方法[D].哈尔滨:哈尔滨理工大学,2009:20-30.HE Lanxiang. Partial Discharge Pattern Recognition Based on Fuzzy Neural Network Based on T-S Model[D].Harbin:Harbin University of Science and Technology,2009:20-30.
[10]周忠寿.基于T-S模型的模糊神经网络在水质评价中的应用[D].南京:河海大学,2007:19-30.ZHOU Zhongshou. Application of Fuzzy Neural Network Based on T-S Model in Water Quality Evaluation[D].Nanjing:Hohai University,2007:19-30.
[11]俞锦梅.数据挖掘在国内图书馆应用领域研究综述[J].图书与情报,2015(02):137-141.YU Jinmei. Review of Data Mining in the Field of Domestic Library Applications[J].图书与情报,2015(02):137-141.
[12]刘新颜,曹晓仪,董治宝.基于T-S模糊神经网络模型的榆林市土壤风蚀危险度评价[J].地理科学,2013,33(06):741-747.LIU Xinyan,CAO Xiaoyi,DONG Zhibao. Evaluation of Risk of Soil Wind Erosion Based on T-S Fuzzy Neural Network Model in Yulin[J]. Geographical Science,2013,33(06):741-747.
[13]张铁芳.蔬菜节水栽培法[J].农村新技术,1999(10):5.ZHANG Tiefang. Water-saving cultivation of vegetables[J]. New Technology in Rural Areas,1999(10):5.
[14]龚元石,李子忠,李春友.应用时域反射仪测定作物需水量和作物系数[J].中国农业大学学报,1998(05):61-67.GONG Yuanshi,LI Zizhong,LI Chunyou. Determination of Crop Water Requirement and Crop Coefficient by Time Domain Reflectometry[J]. Journal of China Agricultural University,1998(05):61-67.
[15]曾维银.高山蔬菜节水栽培技术[J].上海蔬菜,2010(05):22-23.ZENG Weiyin. Harpine Vegetable Water-saving Cultivation Techniques[J]. Shanghai Vegetables,2010(05):22-23.
[16]齐述华,李子忠,龚元石.应用农田水量平衡原理计算三种蔬菜的需水量和作物系数[J].中国农业大学学报,2002(01):71-76.QI Shuhua,LI Zizhong,GONG Yuanshi.Application of farmland water balance principle to calculate water requirement and crop coefficient of three vegetables[J].Journal of China Agricultural University,2002(01):71-76.
[17]李翔,陈增强,袁著祉.神经网络结构的递归T-S模糊模型[J].系统工程学报,2001(04):268-274.LI Xiang,CHEN Zengqiang,YUAN Zengzhi. Recursive T-S fuzzy model of neural network structure[J]. Journal of Systems Engineering,2001(04):268-274.
[18]程冰.模糊神经网络研究[D].广州:广东工业大学,2005:22-29.CHENG Bing. Research on Fuzzy Neural Networks[D].Guangzhou:Guangdong University of Technology,2005:22-29.
[19]陈梦樵.基于T-S模糊神经网络的飞机防滑刹车系统研究[D].长沙:中南大学,2014:12-30.CHEN Mengchiao. Research on Aircraft Skid-proof Braking System Based on T-S Fuzzy Neural Network[J]. Changsha:Zhongnan University,2014:12-30.
[20]杨璐.随机T-S模糊神经网络的稳定性分析[D].秦皇岛:燕山大学,2012:11-33.YANG Lu. Stability Analysis of Stochastic T-S Fuzzy Neural Networks[D]. Qinhuangdao:Yanshan University,2012:11-33.