Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Time Series Forecasting Using Hybrid ARIMA and ANN Models Based on DWT Decomposition

6 references·15 citing·44 second hop

FromToDepth

this work references cited by second hop

References

1977Time Series Analysis: Forecasting and Control19,200 cited
2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
1998Forecasting with artificial neural networks:4,225 cited
1971Time Series Analysis, Forecasting and Control.2,771 cited
2003Neural network forecasting for seasonal and trend time series987 cited
2010Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm399 cited

Cited by

2019Hybrid structures in time series modeling and forecasting: A review240 cited
2017A hybrid ETS–ANN model for time series forecasting217 cited
2018Oil price forecasting using a hybrid model176 cited
2021Forecasting Indonesia Exports using a Hybrid Model ARIMA-LSTM135 cited
2019Supply chain sales forecasting based on lightGBM and LSTM combination model132 cited
2018Time Series Forecasting of Temperatures using SARIMA: An Example from Nanjing130 cited
2019Evaluation of forecasting methods from selected stock market returns92 cited
2022Real-world model for bitcoin price prediction62 cited
2023Hybrid Forecasting Methods—A Systematic Review

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

55 cited

2018Predicting the Future with Artificial Neural Network54 cited

2022Long term and short term forecasting of horticultural produce based on the LSTM network model51 cited

2017Performance Analysis of Four Decomposition-Ensemble Models for One-Day-Ahead Agricultural Commodity Futures Price Forecasting51 cited

2016Demand forecasting based on natural computing approaches applied to the foodstuff retail segment40 cited

2021Forecasting commodity prices using long-short-term memory neural networks38 cited

2020Deep multi-hybrid forecasting system with random EWT extraction and variational learning rate algorithm for crude oil futures35 cited