Research on Diffusion of Wechat Based on Bass - BP Combination Model

DOI

10.2991/ictim-17.2017.39How to use a DOI?

Keywords

Bass model, BP neural network, Wechat diffusion

Abstract

Wechat diffusion has the nonlinear variation characteristics and the law which can not effectively described by signal prediction algorithm. Therefore, this paper presents a Bass-BP diffusion model. Firstly, use the classical Bass model to preliminary forecast the Wechat's data, and then use the BP neural network to further non-linear approach the prediction results of Bass model. The results show that compared with Bass classic model, the Bass-BP combination model has better fitting effect and higher precision.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yaping Jiang
PY  - 2017/09
DA  - 2017/09
TI  - Research on Diffusion of Wechat Based on Bass - BP Combination Model
BT  - Proceedings of the International Conference on Transformations and Innovations in Management (ICTIM 2017)
PB  - Atlantis Press
SP  - 508
EP  - 516
SN  - 2352-5428
UR  - https://doi.org/10.2991/ictim-17.2017.39
DO  - 10.2991/ictim-17.2017.39
ID  - Jiang2017/09
ER  -