SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Predicting the Future with Artificial Neural Network
6 references·1 citing·29 second hop
Predicting the Future with Artificial Neural Network (2018)Predicting the Future with Artificial Neu…Financial Time Series Prediction Using Elman Recurrent Random Neural Networks (2016)Financial Time Series Predict…Time Series Forecasting Using Hybrid ARIMA and ANN Models Based on DWT Decomposition (2015)Time Series Forecasting Using…A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)A moving-average filter based…A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)A novel hybridization of arti…A comparative study of autoregressive neural network hybrids (2005)A comparative study of autore…Time series forecasting using a hybrid ARIMA and neural network model (2003)Time series forecasting using…Back to Basics: The Power of the Multilayer Perceptron in Financial Time Series Forecasting (2024)Back to Basics: The Power of …A theory of power-law distributions in financial market fluctuations (2003)A fusion model of HMM, ANN and GA for stock market forecasting (2006)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Artificial Neural Network and Genetic Algorithm Hybrid Intelligence for Predicting Thai Stock Price Index Trend (2016)RETRACTED ARTICLE: Grey Wolf optimization-Elman neural network model for stock price prediction (2020)Portfolio management system in equity market neutral using reinforcement learning (2021)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)A neural network-based fuzzy time series model to improve forecasting (2009)An intelligent hybridization of ARIMA with machine learning models for time series forecasting (2019)Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail (2020)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)A hybrid ETS–ANN model for time series forecasting (2017)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)Autoregressive models in environmental forecasting time series: a theoretical and application review (2023)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)An optimized model using LSTM network for demand forecasting (2020)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Oil price forecasting using a hybrid model (2018)Hybrid structures in time series modeling and forecasting: A review (2019)
this work references cited by second hop

References

  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting825 cited
  • 2014A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data505 cited
  • 2015Time Series Forecasting Using Hybrid ARIMA and ANN Models Based on DWT Decomposition287 cited
  • 2005A comparative study of autoregressive neural network hybrids219 cited
  • 2016Financial Time Series Prediction Using Elman Recurrent Random Neural Networks98 cited

Cited by

  • 2024Back to Basics: The Power of the Multilayer Perceptron in Financial Time Series Forecasting35 cited

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