| 神经网络对马尾松蛀干类害虫数量的混沌识别 |
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| 引用本文： | 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 |
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| 作者姓名： | 陈利星 陈绘画 周钦富 |
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| 作者单位： | 浙江省仙居县林业局,浙江仙居,317300 |
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| 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) |
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| 摘 要： | [目的]检测马尾松蛀干类害虫2006～2010年,林间种群数量是否具有混沌特性。[方法]利用前馈神经网络分析马尾松蛀干类害虫林间种群数量的复杂性动态。[结果]前馈网络模型估计的最大Lyapunov指数为0.0128,说明马尾松蛀干类害虫林间种群序列存在混沌现象。[结论]马尾松蛀干类害虫的数量与前一次或前几次观测值密切相关,可用重构相空间的方法预测下一次观测值。
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| 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 |
Chaos Detection of the Population of Pinus massoniana Trunk Borers Based on Feedforward Neural Network Approach |
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| CHEN Li-xing et al. Chaos Detection of the Population of Pinus massoniana Trunk Borers Based on Feedforward Neural Network Approach[J]. Journal of Anhui Agricultural Sciences, 2011, 39(28): 17281-17282 |
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| Authors: | CHEN Li-xing et al |
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| Affiliation: | CHEN Li-xing et al(Forest Bureau of Xianju County,Xianju,Zhejiang 317300) |
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| 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 value... |
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| Keywords: | Pinus massoniana Trunk borers Neural network Time series analysis Chaos Nonlinear dynamic model |
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