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A hybrid ARIMA-LSTM model optimized by BP in the forecast of outpatient visits
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A hybrid ARIMA-LSTM model optimized by BP in the forecast of outpatient visits (2020)A hybrid ARIMA-LSTM model optimized by BP…A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)A Comparison of ARIMA and LST…Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models (2017)Hospital daily outpatient vis…Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models (2014)Forecasting stock index retur…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Forecasting with artificial neural networks: (1998)Financial time series forecasting using support vector machines (2003)Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme (2021)Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model (2022)Data-driven stock forecasting models based on neural networks: A review (2024)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Forecasting Daily Patient Volumes in the Emergency Department (2008)Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)‘Horses for Courses’ in demand forecasting (2014)Arima Model for Forecasting the Price of Medium Quality Rice to Anticipate Price Fluctuations (2018)Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method (2020)A Comparison of Time-Series Predictions for Healthcare Emergency Department Indicators and the Impact of COVID-19 (2021)Forecasting principles and practiceDeep learning with long short-term memory networks for financial market predictions (2017)Stock price prediction using deep learning and frequency decomposition (2020)Applications of deep learning in stock market prediction: Recent progress (2021)A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks (2023)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Exponential smoothing: The state of the art (1985)Using daily stock returns (1985)
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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1977Time Series Analysis: Forecasting and Control6,446 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 2018A Comparison of ARIMA and LSTM in Forecasting Time Series1,382 cited
  • 2014Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models135 cited
  • 2017Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models113 cited

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