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神经网络在松墨天牛发生量预报中的应用
引用本文:陈顺立,张华峰,张潮巨,谢峥.神经网络在松墨天牛发生量预报中的应用[J].福建林学院学报,2006,26(1):6-9.
作者姓名:陈顺立  张华峰  张潮巨  谢峥
作者单位:1. 福建农林大学林学院,福建,福州,350002
2. 福建省光泽华侨国有林场,福建,光泽,354100
3. 福建省古田县林业局,福建,古田,352200
基金项目:福建省科学技术厅重大科技项目(2000-Z-028)
摘    要:运用神经网络的基本原理,结合闽北地区气象和环境因子及松墨天牛发生量的实测数据,建立神经网络模型.结果表明:所建立的BP神经网络模型,具有满意的拟合精度和预测精度.2个预留调查点的平均预测精度达97.2%,预测准确率为100%.

关 键 词:松墨天牛  神经网络  发生量  预测预报
文章编号:1001-389X(2006)01-0006-04
收稿时间:2005-03-28
修稿时间:2005-10-20

Forecast of the occurrence quantity of Monochamus alternatus by using neural network
CHEN Shun-li,ZHANG Hua-feng,ZHANG Chao-ju,XIE Zheng.Forecast of the occurrence quantity of Monochamus alternatus by using neural network[J].Journal of Fujian College of Forestry,2006,26(1):6-9.
Authors:CHEN Shun-li  ZHANG Hua-feng  ZHANG Chao-ju  XIE Zheng
Institution:1, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China; 2. Huaqiao Forest Farm of Guangze County, Guangze 354100, China; 3. Forestry Bureau of Gutian County, Gutian 352200, China
Abstract:Based on the theory and methods of neural network,climatic data,geographical data and the occurrence quantity in north of Fujian province,an occurrence quantity forecast of Monochamus alternatus Hope was established.The results showed that the established neural network model had both satisfying fitting and forecasting precision.The mean forecast precision for occurrence quantity was 97.2% in two survey plots,and forecast accuracy was 100%.
Keywords:Monochamus alternatus  neural network  occurrence quantity  forecast
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