%0 Journal Article
%T Research on Financial Distress Prediction with Adaptive Genetic Fuzzy Neural Networks on Listed Corporations of China
%A Zhibin XIONG
%J Int'l J. of Communications, Network and System Sciences
%P 385-391
%@ 1913-3723
%D 2009
%I Scientific Research Publishing
%R 10.4236/ijcns.2009.25043
%X To design a multi-population adaptive genetic BP algorithm, crossover probability and mutation probability are self-adjusted according to the standard deviation of population fitness in this paper. Then a hybrid model combining Fuzzy Neural Network and multi-population adaptive genetic BP algorithm¡ªAdaptive Genetic Fuzzy Neural Network (AGFNN) is proposed to overcome Neural Network¡¯s drawbacks. Furthermore, the new model has been applied to financial distress prediction and the effectiveness of the proposed model is performed on the data collected from a set of Chinese listed corporations using cross validation approach. A comparative result indicates that the performance of AGFNN model is much better than the ones of other neural network models.
%K Multi-Population Adaptive Genetic BP Algorithm
%K Fuzzy Neural Network
%K Cross Validation
%K Financial Distress
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=602