An Application of Hopfield Neural Network in Target Selection of Mergers and Acquisitions
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.
hopfield neural network target selection mergers and acquisitions
Hongjiu Liu Yanrong Hu
Department of Management Engineering Changshu Institute of Technology, CIT Changshu City, China
国际会议
北京
英文
34-37
2009-07-24（万方平台首次上网日期，不代表论文的发表时间）