The Application Research of Neural Network in Embedded Intelligent Detection

摘要：

Neural network which can adapt the sample data by training has good fault-tolerance and can be used in the field of intelligence widely. In the embedded system, restricted to the resources and the capacity of processor, the neural network application has a series of problems, such as losing timelines and the system could be collapsed easily. This article discusses how to use limited memory, processor and external equipment resources to achieve the neural network algorithm for improving the universality of detection system and adaptive ability in the embedded intelligent measuring system.

关键词： Neural Network Embedded System Intelligent Detection.

作者: Xiaodong Liu Dongzhou Ning Hubin Deng Jinhua Wang

作者单位: Compute Center of Nanchang University, 330039, Nanchang, Jiangxi, China East China Jiaotong University, 330039, Nanchang, Jiangxi, China

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 376-381

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）