摘要
将 SVM理论与预警理论相结合 ,提出了一个基于 SVM的宏观经济预警系统 ,并应用于我国棉花产量增长率的预警。与已有预警系统比较 。
An early warning system based on Support Vector Machine classification (SVM) was designed with SVM and early warning theory. It has been shown that this early warning system has an obvious advantage of generalization by testing China cotton production.
出处
《中国农业大学学报》
CAS
CSCD
北大核心
2002年第6期97-100,共4页
Journal of China Agricultural University
基金
国家自然科学基金资助项目
