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The main purpose of forecasting in financial markets is to estimate future trends and to reduce risks of decision making. This research suggests an ANFIS model to improve prediction accuracy in stock price forecasting. For doing so, we applied fuzzy subtractive clustering for structure identification of our ANFIS model. We implemented the proposed model for predicting Tehran Stock Exchange Price Index...
This article combines rough set and artificial neural network (ANN) which is improved with momentum accession and parameter self adaptive algorithm, and constructs a new financial risk prediction model. We apply this model to the empirical research on the financial risk prediction of some Chinese listed companies. Then we compared the outcome with the standard BP ANN, the results show that this combination...
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