| 注册
首页|期刊导航|湖北文理学院学报|基于背景值与初始条件优化的非等间距GM(1,1)模型

基于背景值与初始条件优化的非等间距GM(1,1)模型

胡大红

湖北文理学院学报2016,Vol.37Issue(11):20-22,3.
湖北文理学院学报2016,Vol.37Issue(11):20-22,3.

基于背景值与初始条件优化的非等间距GM(1,1)模型

Unequal Interval GM(1, 1) Model Based on Optimization of Background Value and Original Condition

胡大红1

作者信息

  • 1. 汉口学院 计算机科学与技术学院,湖北 武汉 430000
  • 折叠

摘要

Abstract

The background value of the unequal interval GM(1, 1) model is optimized while its first accumulated generating series satisfy the approximate exponential rules. According to the method of least squares, the pending coefficient of the time response function is optimized when the sum of the squared differences of the first accu-mulated generating values and the simulative values is the smallest, then the unequal interval GM(1, 1) model optimized both the background value and the original condition is obtained. This optimized model doesn ’t need to select the initial condition, and an example is given to show the effectiveness and feasibility of this model.

关键词

灰色系统理论/非等间距GM(1, 1)模型/背景值优化

Key words

Grey system theory/Unequal interval GM(1, 1) model/Background value optimization

分类

自科综合

引用本文复制引用

胡大红..基于背景值与初始条件优化的非等间距GM(1,1)模型[J].湖北文理学院学报,2016,37(11):20-22,3.

基金项目

湖北省教育厅科研项目(B2015504) (B2015504)

湖北文理学院学报

OACHSSCD

2095-4476

访问量0
|
下载量0
段落导航相关论文