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基于改进型神经网络的植物病虫害预警模型的构建
引用本文:曹志勇,邱靖,曹志娟,杨毅.基于改进型神经网络的植物病虫害预警模型的构建[J].安徽农业科学,2010,38(1):538-540.
作者姓名:曹志勇  邱靖  曹志娟  杨毅
作者单位:1. 云南农业大学基础与信息工程学院,云南昆明,650201
2. 云南财经大学信息学院,云南昆明,650221
基金项目:云南省科技攻关项目(2006NG02)
摘    要:通过对植物病虫害预警模型相关原理和方法的研究,并结合粒子群算法对后向传播神经网络进行参数优选,构建了基于粒子群和神经网络混合算法的植物病虫害纽合预警模型。测试结果表明预警模型的构建有效且可行,为构建有效的预警平台应用提供了可行的模型结构。

关 键 词:后向传播神经网络  粒子群算法  植物病虫害  预警模型

Construction of the Early-warning Model for Plant Diseases Based on Improving Neural Network
CAO Zhi-yong et al.Construction of the Early-warning Model for Plant Diseases Based on Improving Neural Network[J].Journal of Anhui Agricultural Sciences,2010,38(1):538-540.
Authors:CAO Zhi-yong
Institution:College of Information Engineering;Yunnan Agriculture University;Yunnan;Kunming 650201
Abstract:By studying principles and methods related to early-warning model of plant diseases and using PSO method,parameter optimization was conducted to backward propagation neural network,and a pre-warning model for plant diseases based on particle swarm and neural network algorithm was established.The test results showed that the construction of early-warning model is effective and feasible,which will provide a viable model structure to establish the effective early-warning platform.
Keywords:Backward propagation neural network  Particle swarm algorithm  Plant diseases  Early warning model  
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