首页 | 本学科首页   官方微博 | 高级检索  
     检索      

人工神经网络在毛竹枯梢病预测预报的应用研究
引用本文:何东进,洪伟.人工神经网络在毛竹枯梢病预测预报的应用研究[J].植物病理学报,1998,28(4):353-357.
作者姓名:何东进  洪伟
作者单位:福建林学院资源与环境系, 南平 353001
摘    要: 本文依据1988~1989年在8个标准地收集的气象因子和毛竹病情指数的观察资料,运用人工神经网络模型预测预报中期(la)的毛竹枯梢病。研究结果表明:人工神经网络预测预报毛竹枯梢病的精确度较高,可以为毛竹病虫害发生规律的预测预报提供科学依据。

关 键 词:毛竹枯梢病  人工神经网络  预测预报  

A STUDY ON PREDICTION FOR THE BLIGHT OF PHYLLOSTACHYS HETEROCYCLE BY ARTIFICIAL NEURAL NETWORKS
He Dongjin,Hong Wei,Wu Chengzhen.A STUDY ON PREDICTION FOR THE BLIGHT OF PHYLLOSTACHYS HETEROCYCLE BY ARTIFICIAL NEURAL NETWORKS[J].Acta Phytopathologica Sinica,1998,28(4):353-357.
Authors:He Dongjin  Hong Wei  Wu Chengzhen
Institution:Fujian College of Forestry, Nanping 353001
Abstract:Based on the data obtained from observation of the Top Blight of P. heterocycle,the setupwise prediction model was built by the means of artificial neural network,with disease index,pathogens temperature, relative humidity and rainfall as factors. The result showed that the accuracy of the predlction model is high, and it also provided a scientific basis in predicting the disease out-break law of P. heterocycle.
Keywords:Top Blight of P  heterocycle Artificial neural network Prediction
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《植物病理学报》浏览原始摘要信息
点击此处可从《植物病理学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号