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基于灰色Verhulst的互联网上网人数动态预测模型

朱苗苗 牛国锋 乐德广

微型机与应用2011,Vol.30Issue(23):91-93,3.
微型机与应用2011,Vol.30Issue(23):91-93,3.

基于灰色Verhulst的互联网上网人数动态预测模型

Prediction of the number of people using the Internet based on the gray verhulst dynamic model

朱苗苗 1牛国锋 1乐德广1

作者信息

  • 1. 常熟理工学院计算机科学与工程学院,江苏常熟215500
  • 折叠

摘要

Abstract

Based on the data of the people using the internet in recent years, this paper introduce the prediction theory of gray Vcrhulst according to the feature of the data, analyze and build the dynamic model of gray Verhulst. By the model, the paper conducts the specimen verification and deviation inspection on the number of the people using the internet. The result expresses that the gray Verhulst dynamic model is helpful to increase the precision of the testing data, and it can plays a significant role in research and application.

关键词

互联网/Verhulst模型/残差/相对误差

Key words

Internet/Verhulst model/residue/relative error

分类

计算机与自动化

引用本文复制引用

朱苗苗,牛国锋,乐德广..基于灰色Verhulst的互联网上网人数动态预测模型[J].微型机与应用,2011,30(23):91-93,3.

基金项目

江苏省高校自然科学研究项目 ()

微型机与应用

2097-1788

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