The parameter estimation approach of Bass model based on Ant Colony Optimization and its application

被引:0
|
作者
Meng, Fandong [1 ]
He, Mingsheng [1 ]
机构
[1] Harbin Inst Technol, Harbin 150001, Peoples R China
关键词
Bass model; parameter estimation; Ant Colony Optimization; internet;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper gives a detailed introduction of a new parameter estimation approach of Bass model, Ant Colony Optimization (ACO). With the development and integration of internet technology in China, this paper illustrates the diffusion tendency using the application of Bass model, and fairly satisfying results have been achieved. The estimation of parameters for a model is one of the most important factors for the accurate forecasting of a model. This paper summarizes the current achievements, and adopts the ACO as the parameter estimation approach of Bass model. Through scientific analysis and simulations, a conclusion is drawn that ACO is a much better parameter estimation approach for Bass model.
引用
收藏
页码:651 / 657
页数:7
相关论文
共 50 条
  • [1] Ant Colony Optimization and Its Application
    Ding, Caichang
    Peng, Wenxiu
    [J]. 2011 SECOND ETP/IITA CONFERENCE ON TELECOMMUNICATION AND INFORMATION (TEIN 2011), VOL 1, 2011, : 193 - 195
  • [2] Parameter Optimization of Compressor Based on an Ant Colony Optimization
    Zhong Mei-peng
    [J]. ADVANCES IN ENGINEERING DESIGN AND OPTIMIZATION III, PTS 1 AND 2, 2012, 201-202 : 916 - 919
  • [3] The Dynamic Ant Colony Optimization Based on Permutation and Its Application
    Luo XianWen
    [J]. MATERIALS SCIENCE AND ENGINEERING, PTS 1-2, 2011, 179-180 : 818 - 823
  • [4] Analysis of Parameter Estimation and Optimization Application of Ant Colony Algorithm in Vehicle Routing Problem
    Xu, Quan-Li
    Cao, Yu-Wei
    Yang, Kun
    [J]. MIPPR 2017: PARALLEL PROCESSING OF IMAGES AND OPTIMIZATION TECHNIQUES; AND MEDICAL IMAGING, 2018, 10610
  • [5] Ant colony optimization algorithm and its application
    Chen, Aoran
    Tan, Hao
    Zhu, Yiyue
    [J]. 2ND INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELLING, AND INTELLIGENT COMPUTING (CAMMIC 2022), 2022, 12259
  • [6] A novel algorithm for parameter estimation of Hidden Markov Model inspired by Ant Colony Optimization
    Emdadi, Akram
    Moughari, Fatemeh Ahmadi
    Meybodi, Fatemeh Yassaee
    Eslahchi, Changiz
    [J]. HELIYON, 2019, 5 (03)
  • [7] Reactive Memory Model for Ant Colony Optimization and Its Application to TSP
    Sagban, Rafid
    Mahamud, Ku Ruhana Ku
    Abu Bakar, Muhamad Shahbani
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM COMPUTING AND ENGINEERING, 2014, : 310 - 315
  • [8] Improved ant colony optimization based on particle swarm optimization and its application
    Zhang, Chao
    Li, Qing
    Chen, Peng
    Yang, Shou-Gong
    Yin, Yi-Xin
    [J]. Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing, 2013, 35 (07): : 955 - 960
  • [9] Improved Ant Colony Algorithm and Its Application to the Parameter Optimization in Rainstorm Intensity Formula
    Du, Jiaxing
    Miao, Shaohui
    Zhao, Bin
    Li, Hongyun
    [J]. MECHANICAL ENGINEERING AND MATERIALS SCIENCE, 2012, 108 : 111 - +
  • [10] Weibull Parameter Estimation Algorithm Based on Ant Colony
    Li, Weiguang
    Li, Zhen
    Ye, Cong
    Ye, Jing
    Chen, Gong
    Lin, Zhuohua
    Shang, Wanfeng
    Liu, Quanquan
    Wang, Chunbao
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SAFETY FOR ROBOTICS (ISR), 2018, : 579 - 584