基于支持向量机的科技图书市场预测  

Science and Technology Book Market Forecast Based on Support Vector Machine

作　　者：高毅[1] 高尚[2] 

机构地区：[1]镇江日报社,江苏镇江212001 [2]江苏科技大学计算机科学与工程学院,江苏镇江212003

出　　处：《计算技术与自动化》2010年第4期90-92,共3页Computing Technology and Automation

基　　金：人工智能四川省重点实验室开放基金(2009RY001)

摘　　要：对灰色、神经网络和支持向量机的三个预测模型进行研究,以某某类科技图书1993-2000年的年发行量为例,对科技图书市场进行预测,经过比较,支持向量机的预测方法精度较高。本方法可推广应用于其他类图书市场的预测。The grey system forecasting model,neural network forecasting model and support vector machine forecasting model are proposed in this paper.Taking science and technology book market from year of 1993 to 2000 as a study case,the forecasting results are got by three methods.From the forecasting results,we can conclude that the accuracy of the support vector machine forecasting method is higher.The method of prediction may also be applied to other types of books

关 键 词：灰色系统 神经网络 支持向量机 

分 类 号：U491[交通运输工程—交通运输规划与管理]