Financial Performance Evaluation of Post-acquisition Based on SOM and Hopfield Neural Network

摘要

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%.