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水稻需水量预测的ANFIS构建及应斥
引用本文:杨先野,王宝华,何司彦.水稻需水量预测的ANFIS构建及应斥[J].浙江水利水电专科学校学报,2012,24(4):62-64.
作者姓名:杨先野  王宝华  何司彦
作者单位:1. 广州市水务规划勘测设计研究院,广东广州,510405
2. 广东环境保护工程职业学院,广东佛山,528216
摘    要:以“中国东北大米之乡”富锦水稻灌区为例,建立了自适应神经模糊推理系统(ANFIS)的水稻需水量预测模型,通过选择最合适的隶属度函数和模糊规则,从而实现了对水稻需水量的预测,并且与BP模型的比较,结果表明该模型具有很高的预测精度,对于指导该地区科学用水、发展节水灌溉、节约地下水资源,促进农业的可持续发展具有一定意义.

关 键 词:ANFIS  水稻需水量  预测

Construction and Application of Rice Water Requirement Prediction on ANFIS
YANG Xian-ye,WANG Bao-hua,HE Si-yan.Construction and Application of Rice Water Requirement Prediction on ANFIS[J].Journal of Zhejiang Water Conservancy and Hydropower College,2012,24(4):62-64.
Authors:YANG Xian-ye  WANG Bao-hua  HE Si-yan
Affiliation:1. Guangzhou Municipal Institute of Water Affairs Investigation and Design, Guangzhou 510405, China; 2. Guangdong Vocational College of Environmental Protection Engineering, Fushan 528216, China)
Abstract:The research with "Chinese northeast rice village" Fujin rice irrigation district as an example, established the a- daptive neural fuzzy inference system (ANFIS) rice water requirement prediction model, by selecting the most appropriate membership functions and fuzzy rules, thus realizes to the rice water requirement prediction, and compared with the BP model, the result shows that the model has a high estimation precision.
Keywords:ANFIS  rice water requirement  prediction
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