Introduction of time series data analysis using grey system theory

被引：0

作者：

Shimizu, N ^{[1
]}

Ueno, O ^{[1
]}

Komata, C ^{[1
]}

机构：

[1] Yazaki Corp, Infotelemat R&D Div, Shizuoka 41011, Japan

来源：

1998 SECOND INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ELECTRONIC SYSTEMS, KES '98, PROCEEDINGS, VOL 2 | 1998年

关键词：

grey system theory; time series data forecasting;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we consider an application of grey system theory to the time series data forecasting problem, called grey forecasting, where grey implies incomplete or uncertain, and grey system describes a system lacking information about structure messages, operation mechanism and/or behavior documents. In case of bad data lacking information, grey forecasting method is known to be effective in time series data analysis. We present the design of grey forecasting model, and compare it with conventional method.

引用

页码：67 / 72

页数：6