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Recurrent dendritic neuron model artificial neural network for time series forecasting
6 references·0 citing·33 second hop
Recurrent dendritic neuron model artificial neural network for time series forecasting (2022)Recurrent dendritic neuron model artifici…The M4 Competition: Results, findings, conclusion and way forward (2018)The M4 Competition: Results, …Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis (2018)Temporal Attention-Augmented …Using a Single Dendritic Neuron to Forecast Tourist Arrivals to Japan (2016)Using a Single Dendritic Neur…Financial time series prediction using a dendritic neuron model (2016)Financial time series predict…Toward Automatic Time-Series Forecasting Using Neural Networks (2012)Toward Automatic Time-Series …Trend Time–Series Modeling and Forecasting With Neural Networks (2008)Trend Time–Series Modeling an…Combining forecasts: A review and annotated bibliography (1989)Forecasting with artificial neural networks: (1998)Another look at measures of forecast accuracy (2006)A Driver State Detection System—Combining a Capacitive Hand Detection Sensor With Physiological Sensors (2017)Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology (2019)Strategies for time series forecasting with generalized regression neural networks (2021)Time Series Analysis: Forecasting and Control (1977)The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis (1989)Comparing Predictive Accuracy (1994)Neural Networks for Time-Series Forecasting (2012)A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter (2014)Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine (2016)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)Time series analysis forecasting and control (2009)A new secondary decomposition ensemble learning approach for carbon price forecasting (2020)A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction (2021)Second-hand house price index forecasting with neural networks (2021)Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)Tourism demand modelling and forecasting—A review of recent research (2007)A new deep neural network for forecasting: Deep dendritic artificial neural network (2024)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The M3-Competition: results, conclusions and implications (2000)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Retail forecasting: Research and practice (2019)Probabilistic forecasting with temporal convolutional neural network (2020)Deep Learning for Time Series Forecasting: Tutorial and Literature Survey (2022)Mean Reversion in Stock Prices: Evidence and Implications (1987)Mean reversion in stock prices (1988)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)Deep Robust Reinforcement Learning for Practical Algorithmic Trading (2019)CNN-based multivariate data analysis for bitcoin trend prediction (2020)Forecasting directional movements of stock prices for intraday trading using LSTM and random forests (2022)
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References

  • 2018The M4 Competition: Results, findings, conclusion and way forward634 cited
  • 2018Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis238 cited
  • 2016Financial time series prediction using a dendritic neuron model183 cited
  • 2012Toward Automatic Time-Series Forecasting Using Neural Networks182 cited
  • 2008Trend Time–Series Modeling and Forecasting With Neural Networks149 cited
  • 2016Using a Single Dendritic Neuron to Forecast Tourist Arrivals to Japan61 cited

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