Research on the AID Measurement Based on Improved SVM Algorithm
The agricultural information level is on the initial stage in Hebei province, so we should pay more attention to its construction. And on this basis we can find out the influencing factors and corresponding countermeasures. To evaluate the agricultural information degree in Hebei province scientifically and accurately, this paper establish the agricultural information degree (AID) evaluation model based on self-adapting regression SVM, through establishing agricultural information degree index system, use several SVM classifier series portfolio, solve the problems that the training samples category and quantity are imbalance, and the data is interfered. Experimental results show that the method improved the evaluating accuracy and efficiency of the agricultural information degree.
improved SVM agricultural information degree indez system comprehensive evaluation
Ling Zhang Junchen Jiang Zhibin Liu
School of Business Agricultural University of Hebei Baoding City, China College of Economics and Trade Agricultural University of Hebei Baoding City, China
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
519-522
2009-05-22(万方平台首次上网日期,不代表论文的发表时间)