Research on Diffusion of Wechat Based on Bass - BP Combination Model
Available Online September 2017.
- 10.2991/ictim-17.2017.39How to use a DOI?
- Bass model, BP neural network, Wechat diffusion
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.
- © 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/).
Cite this article
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 -