Soft computing hybrids for FOREX rate prediction: A comprehensive reviewDadabada Pradeepkumar, Vadlamani Ravi2018-05-24articleComputers & Operations Research93 citationsclosedNo readable copy stored yet — this record is metadata only.Stock Market Forecasting MethodsForecasting Techniques and ApplicationsHydrological Forecasting Using AIAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 93 citations exist upstream.References1965Fuzzy sets1996Fuzzy sets2003Time series forecasting using a hybrid ARIMA and neural network model1998Forecasting with artificial neural networks:1983Empirical exchange rate models of the seventies1969The Combination of Forecasts1989Combining forecasts: A review and annotated bibliography1982The accuracy of extrapolation (time series) methods: Results of a forecasting competitionCited by2021A Hybrid System Based on Dynamic Selection for Time Series Forecasting2021Predicting Volatility Index According to Technical Index and Economic Indicators on the Basis of Deep Learning Algorithm