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基于BP神经网络的棉花病虫害诊断系统
Diagnostic System of Cotton Diseases and Inset Pests on the Basis of BP Neural Network
【摘要】 本文根据棉花病虫害的80种症状,构造了一个部分连接的神经网络模型,用它对数10种棉花病虫害进行诊断,样本正确率达100%,使用正确率达90%以上。系统使用简便,并可推广应用到其它类农作物上。
【Abstract】 The model of a part connection BP network has been constitued according to 80 symptoms of cotton diseases and inset pests, new model simplifies networks structure and improves learning speed, using new model to diagnostic many tens of cotton diseases and inset pests, Sample right rate achieves 100%, application right rate overtake 90%.
【关键词】 BP神经网络;
棉花病虫害;
诊断系统;
【Key words】 BP neural network; Cotton diseases and inset pests; Diagnostic system;
【Key words】 BP neural network; Cotton diseases and inset pests; Diagnostic system;
【基金】 国家863项目
- 【文献出处】 微电子学与计算机 ,MICROELECTRONICS & COMPUTER , 编辑部邮箱 ,1996年03期
- 【分类号】S435.62
- 【被引频次】12
- 【下载频次】119