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Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM
5 references·0 citing·23 second hop
Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM (2023)Short-term traffic flow prediction based …An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting (2022)An adaptive particle swarm op…User's guide to correlation coefficients (2018)User's guide to correlation c…Spatio-Temporal Wireless Traffic Prediction With Recurrent Neural Network (2018)Spatio-Temporal Wireless Traf…A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction (2010)A novel hybrid optimization a…Use of sequential learning for short-term traffic flow forecasting (2001)Use of sequential learning fo…Business failure prediction using rough sets (1999)The integrated methodology of rough set theory and artificial neural network for business failure prediction (2000)An artificial neural network (p,d,q) model for timeseries forecasting (2009)A Combined Forecasting Model of Urban Rail Transit Peak-Hour Cross-Section Passenger Volume (2015)Systematic Approach to Analyze Travel Time in Road-Based Mass Transit Systems Based on Data Mining (2018)Using Data Mining to Analyze Dwell Time and Nonstop Running Time in Road-Based Mass Transit Systems (2018)Analyzing and modeling spatio-temporal dependence of cellular traffic at city scale (2015)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data (2019)A note on concordance correlation coefficient. (2000)Biostatistics 104: correlational analysis. (2003)Bland-Altman analysis: A paradigm to understand correlation and agreement (2018)Immediate Psychological Effects of the COVID-19 Quarantine in Youth From Italy and Spain (2020)Psychological Symptoms and Behavioral Changes in Children and Adolescents During the Early Phase of COVID-19 Quarantine in Three European Countries (2020)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Another look at measures of forecast accuracy (2006)Deep learning with long short-term memory networks for financial market predictions (2017)Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models (2023)Enhancing stock price prediction using GANs and transformer-based attention mechanisms (2024)Deep learning for financial forecasting: A review of recent trends (2025)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Deep learning for short-term traffic flow prediction (2017)
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References

  • 2018User's guide to correlation coefficients6,033 cited
  • 2018Spatio-Temporal Wireless Traffic Prediction With Recurrent Neural Network206 cited
  • 2001Use of sequential learning for short-term traffic flow forecasting200 cited
  • 2022An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting67 cited
  • 2010A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction44 cited

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