An Application of Hopfield Neural Network in Target Selection of Mergers and Acquisitions

Author

Liu, Hongjiu ; Hu, Yanrong

Author_Institution

Dept. of Manage. Eng., Changshu Inst. of Technol., Changshu, China

fYear

2009

fDate

24-26 July 2009

Firstpage

34

Lastpage

37

Abstract

Target selection is one of the most important steps of during the process of mergers and acquisitions. Hopfield neural network is very strong in pattern recognition which can simulate the criteria of acquirer and remind it. The network model overcomes the shortcomings of classic statistic and fuzzy models and embodies the requirements of acquirer. Demonstration shows that Hopfield network is an effective tool to choose targets with good performance if the standard of mergers and acquisition is feasible and reasonable.

Keywords

Hopfield neural nets; corporate acquisitions; pattern recognition; Hopfield neural network; acquirer criteria; acquisition; merger; network model; pattern recognition; target selection; Cities and towns; Corporate acquisitions; Electronic mail; Engineering management; Hopfield neural networks; Neurons; Neutrons; Pattern recognition; Target recognition; Technology management; hopfield neural network; mergers and acquisitions; target selection;

fLanguage

English

Publisher

ieee

Conference_Titel

Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on

Conference_Location

Beijing

Print_ISBN

978-0-7695-3705-4

Type

conf

DOI

10.1109/BIFE.2009.17

Filename

5208943