The Study of Prediction Model of Enterprises’ Operating Performance by Using Fruit Fly Optimization Algorithm: Taking Intelligent Technology Industry in China for Example

DOI

10.2991/febm-18.2018.90How to use a DOI?

Keywords

Fruit fly optimization algorithm; Big data; Intelligent technology; Operating performance; Prediction model

Abstract

With the unveiling of the “Made in China 2025” plan, the future of manufacturing has been transformed from “made in China” to “intelligent manufacturing in China” and it means that the new era of intelligent technology has come. However, there is still not a specific and effective model for predicting enterprises’ operating performance because the development of intelligent technology industry in China started late. Therefore, this study applies fruit fly optimization algorithm to optimize multiple regression and construct the most appropriate model which can effectively predict the enterprises’ operating performance of intelligent technology industry in China. The result shows it has good ability to optimize multiple regression by fruit fly optimization algorithm and obviously enhance the prediction performance.

Copyright

© 2018, 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  - Tian Wang
AU  - Jianbang Lin
AU  - Danni Hu
PY  - 2018/12
DA  - 2018/12
TI  - The Study of Prediction Model of Enterprises’ Operating Performance by Using Fruit Fly Optimization Algorithm: Taking Intelligent Technology Industry in China for Example
BT  - Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
PB  - Atlantis Press
SP  - 392
EP  - 395
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-18.2018.90
DO  - 10.2991/febm-18.2018.90
ID  - Wang2018/12
ER  -