安徽农业科学2011，Vol.39Issue(28)：17281-17282,2.
神经网络对马尾松蛀干类害虫数量的混沌识别
Chaos Detection of the Population of Pinus massoniana Trunk Borers Based on Feedforward Neural Network Approach
摘要
Abstract
[Objective ] To detect the chaos characteristic of population quantity of Pinus massoniana trunk borers from 2006 to 2010. [ Method] The feedforward neutral network approach was adopted to analyze the complex dynamics of P. Massoniana trunk borers. [ Result] The largest Lyapunov exponent estimated by feedforward network model was 0.012 8, indicating the chaos features of the population sequence of P.massoniana trunk borers. [ Conclusion ] The present quantity was closely correlated with the previous observation values, P. Massoniana trunk borers could be forecasted by reconstructed phase space method.关键词
马尾松/蛀干类害虫/神经网络/时间序列分析/混沌/非线性动力学模型Key words
Pinus massoniana / Trunk borers/ Neural network/ Time series analysis/ Chaos/ Nonlinear dynamic model分类
农业科技引用本文复制引用
陈利星,陈绘画,周钦富..神经网络对马尾松蛀干类害虫数量的混沌识别[J].安徽农业科学,2011,39(28):17281-17282,2.基金项目
仙居县科技局“仙居县林业主要有害生物数值预报的研究”(200628). （200628）
