DocumentCode
2156475
Title
Financial Performance Evaluation of Post-Acquisition Based on SOM and Hopfield Neural Network
Author
Hongjiu Liu ; Yanrong Hu ; Weimin Ma
Author_Institution
Sch. of Manage., Changshu Inst. of Technol., CIT, Changshu, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
In this paper, we apply Self-Organized Mapping and Hopfield neural network to cluster characteristics of financial performance and predict the performance of post-acquisition. Financial characteristics of samples of targets are divided into three sorts very evidently by clustering of SOM. According to the financial variables of every sort, we build Hopfield network model to predict the sort of performance of test samples. Demonstration indicates the accuracy is 92.11%.
Keywords
Hopfield neural nets; financial management; Hopfield neural network; SOM; financial performance evaluation; postacquisition; self-organized mapping; target sampling; Algorithm design and analysis; Artificial neural networks; Asset management; Clustering algorithms; Companies; Hopfield neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Electronic_ISBN
978-1-4244-5326-9
Type
conf
DOI
10.1109/ICMSS.2010.5576514
Filename
5576514
Link To Document