The Application of AdaBoost-Neural Network in Storedproduct Insect Classification

摘要：

The classification of stored product insects has been an important and difficult aspect of grain reserve in the world. The existing classification methods cannot acquire excellent performance. AdaBoost, an adaptive boosting algorithm, may improve the classification accuracy of any given classifier. In this paper AdaBoost is adopted to increase the performance of artificial neural network for storedproduct insect classification, and compared with standard neural network methods. Experiment results show that the new method is efficient and a significant improvement in classification accuracy is obtained.

作者: Hongmei Zhang Quangong Huo Wei Ding

作者单位: Henan University of Technology,Zhengzhou 450001,China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 973-976

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）