Time series forecasting using a hybrid ARIMA and neural network modelG.Peter Zhang2003-01-01articleNeurocomputing4,469 citationsclosedNo readable copy stored yet — this record is metadata only.Forecasting Techniques and ApplicationsStock Market Forecasting MethodsTime Series Analysis and ForecastingAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 4,469 citations exist upstream.References1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation1977Time Series Analysis: Forecasting and Control1998Forecasting with artificial neural networks:1969The Combination of ForecastsCited by2020Recurrent Neural Networks for Time Series Forecasting: Current status and future directions2004A hybrid ARIMA and support vector machines model in stock price forecasting2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting2009An artificial neural network (p,d,q) model for timeseries forecasting2020Stock Closing Price Prediction using Machine Learning Techniques2020A CNN-BiLSTM-AM method for stock price prediction2006ARIMA forecasting of primary energy demand by fuel in Turkey2018NSE Stock Market Prediction Using Deep-Learning Models