QPSO-optimized BP Neural Network to Predict Oc- currence Quantity of Myzus persicae

• 作 者: Qiu Jing Yang Yi Qin Xiyun Li
• 机 构: CollegeofFoundationandInformationEngineering,YunnanTobaccoResearchInstitute
• 出 处: Plant Diseases and Pests(植物病虫害研究：英文版)
• 发表日期: 2015年1期
• 关键词: 神经网络预测 BP神经网络 发生量 粒子群算法 桃蚜 优化 预测模型 量子 BP neural network QPSO algorithm Myzus
• 基金项目: Supported by Science and Technology Project of China National Tobacco Cor- poration （2009YN005 ＆ 2010YN18 ＆ 2010YN19）.

In order to effectively predict occurrence quantity of Myzus persicae,BP neural network theory and method was used to establish prediction model for occurrence quantity of M. persicae. Meanwhile,QPSO algorithm was used to optimize connection weight and th