Title :
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
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;
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
DOI :
10.1109/BIFE.2009.17
