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PREDICTING HOUSING SALES IN TURKEY USING ARIMA, LSTM AND HYBRID MODELS
12 references·9 citing·47 second hop
PREDICTING HOUSING SALES IN TURKEY USING ARIMA, LSTM AND HYBRID MODELS (2019)PREDICTING HOUSING SALES IN TURKEY USING …A hybrid modelling method for time series forecasting based on a linear regression model and deep learning (2019)A hybrid modelling method for…Time series forecasting of petroleum production using deep LSTM recurrent networks (2018)Time series forecasting of pe…Forecasting Economics and Financial Time Series: ARIMA vs. LSTM (2018)Forecasting Economics and Fin…Chapter 3 - The Future of Prediction (2015)Chapter 3 - The Future of Pre…A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)A moving-average filter based…Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA–ANN model (2009)Predicting fuelwood prices in…Forecasting nonlinear time series with a hybrid methodology (2009)Forecasting nonlinear time se…A new hybrid artificial neural networks and fuzzy regression model for time series forecasting (2007)A new hybrid artificial neura…ARIMA forecasting of primary energy demand by fuel in Turkey (2006)ARIMA forecasting of primary …Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…The Allocation of Capital and Time over the Business Cycle (1991)The Allocation of Capital and…ARIMA model building and the time series analysis approach to forecasting (1983)ARIMA model building and the …Modeling and forecasting CO2 emissions in China and its regions using a novel ARIMA-LSTM model (2023)Modeling and forecasting CO2 …Hybridization of ARIMA with Learning Models for Forecasting of Stock Market Time Series (2023)Hybridization of ARIMA with L…Hybrid Forecasting Methods—A Systematic Review (2023)Hybrid Forecasting Methods—A …An optimized hybrid methodology for short‐term traffic forecasting in telecommunication networks (2023)An optimized hybrid methodolo…The effect of sales promotions intensity on volume and variability in category sales of large retailers (2021)The effect of sales promotion…Prediction of gold price with ARIMA and SVM (2021)Prediction of gold price with…Discovering the Value Creation System in IoT Ecosystems (2021)Discovering the Value Creatio…Deep Learning Model for House Price Prediction Using Heterogeneous Data Analysis Along With Joint Self-Attention Mechanism (2021)Deep Learning Model for House…YOLO Object Recognition Algorithm and “Buy-Sell Decision” Model Over 2D Candlestick Charts (2020)YOLO Object Recognition Algor…The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Time Series Analysis: Forecasting and Control (1977)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)A new class of hybrid models for time series forecasting (2011)Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model (2015)Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms (2017)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. 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References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 2018Time series forecasting of petroleum production using deep LSTM recurrent networks971 cited
  • 2006ARIMA forecasting of primary energy demand by fuel in Turkey622 cited
  • 1991The Allocation of Capital and Time over the Business Cycle528 cited
  • 2014A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data505 cited
  • 1983ARIMA model building and the time series analysis approach to forecasting211 cited
  • 2007A new hybrid artificial neural networks and fuzzy regression model for time series forecasting207 cited
  • 2018Forecasting Economics and Financial Time Series: ARIMA vs. LSTM183 cited
  • 2009Forecasting nonlinear time series with a hybrid methodology155 cited
  • 2015Chapter 3 - The Future of Prediction138 cited
  • 2009Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA–ANN model117 cited
  • 2019A hybrid modelling method for time series forecasting based on a linear regression model and deep learning115 cited

Cited by

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  • 2023Modeling and forecasting CO2 emissions in China and its regions using a novel ARIMA-LSTM model

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79 cited
  • 2021Prediction of gold price with ARIMA and SVM72 cited
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  • 2023Hybridization of ARIMA with Learning Models for Forecasting of Stock Market Time Series43 cited
  • 2020YOLO Object Recognition Algorithm and “Buy-Sell Decision” Model Over 2D Candlestick Charts37 cited
  • 2021The effect of sales promotions intensity on volume and variability in category sales of large retailers11 cited
  • 2021Discovering the Value Creation System in IoT Ecosystems10 cited