Title :
Study on Mergers & Acquisitions Target Selection Based on Self-Organizing Mapping Neural Network
Author :
Hongjiu, Liu ; Yanrong, Hu ; Shufen, Fang
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol.
Abstract :
This thesis combines Delphi method and self-organizing mapping (SOM) neural network theory. It brings forward the basic steps of learn arithmetic and criterion system of mergers & acquisitions. The SOM neural network is trained by criterion data of mergers & acquisitions which experts provides. After the network model is trained, it can distinguish target enterprises from potential enterprises. The result of training and simulation proves that the method is feasible and practical
Keywords :
corporate acquisitions; self-organising feature maps; unsupervised learning; Delphi method; mergers & acquisitions; potential enterprises; self-organizing mapping neural network; target enterprises; target selection; training; Arithmetic; Companies; Corporate acquisitions; Cost accounting; Finance; Government; Investments; Marine animals; Neural networks; Technology management; Mergers& Acquisitions; Neural Network; SOM; Target Selection;
Conference_Titel :
Management of Innovation and Technology, 2006 IEEE International Conference on
Conference_Location :
Singapore, China
Print_ISBN :
1-4244-0147-X
Electronic_ISBN :
1-4244-0148-8
DOI :
10.1109/ICMIT.2006.262379
