计算机与现代化Issue(5)：9-12,4.DOI:10.3969/j.issn.1006-2475.2015.05.002
基于 FCM 的时间序列论域划分方法
A FCM-based Domain Partition Method for Time Series Data Set
刘澈 1刘璇 1马鸿旭1
作者信息
- 1. 河海大学计算机与信息学院，江苏 南京 211100
- 折叠
摘要
Abstract
With the development of society , people increasingly demand for data prediction , fuzzy time series has been attracted much attention because it can handle the ambiguities in time series data .To improve the prediction accuracy of the model , do-main partition is crucial as the first step of the prediction .In this paper, we present a FCM-based two-time domain partition meth-od .We make the first partition according to the clustering center obtained from FCM clustering , the second partition to realize un-equal domain according to the density distribution of the sample points .Finally, the feasibility of the new method is verified through the prediction of classic sample .关键词
时间序列/论域划分/FCM聚类算法/数据预测Key words
time series/domain partition/FCM clustering algorithm/data forecast分类
信息技术与安全科学引用本文复制引用
刘澈,刘璇,马鸿旭..基于 FCM 的时间序列论域划分方法[J].计算机与现代化,2015,(5):9-12,4.
