The Prediction Study on Output Value and Profit of China Mobile Tianjin Branch

Hong-li Wang (), Lin-xi Song and Ya-tao Zhang
Additional contact information
Hong-li Wang: Tianjin University
Lin-xi Song: Tianjin University
Ya-tao Zhang: Tianjin University

Chapter Chapter 50 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 449-455 from Springer

Abstract: Abstract This paper predicted the future development of China Mobile Tianjin Branch, based on support vector machine, stochastic gradient boosting and artificial neural networks. By comparison, we known that stochastic gradient regression had higher precision for the prediction of output value, and that support vector machine regression had higher precision for the prediction of profit. By using the two regression methods, output value and profit in the next 4 years was predicted respectively, based on the company’s past data. The study will provide creditable support for the formulation of the company’s development strategy.

Keywords: Prediction; China mobile; SVM; Stochastic gradient regression (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38433-2_50

Ordering information: This item can be ordered from
http://www.springer.com/9783642384332

DOI: 10.1007/978-3-642-38433-2_50

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().