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MLP ensembles improve long term prediction accuracy over single networks
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  • 1992Error measures for generalizing about forecasting methods: Empirical comparisons1,423 cited
  • 2001Principles of forecasting : a handbook for researchers and practitioners1,045 cited
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  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation470 cited
  • 2006Findings from evidence-based forecasting: Methods for reducing forecast error199 cited
  • 2012Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and Particle Swarm Optimization167 cited
  • 2001Standards and Practices for Forecasting63 cited

Cited by

  • 2022Forecasting natural gas consumption using Bagging and modified regularization techniques51 cited
  • 2012Comparison of multilabel classification models to forecast project dispute resolutions42 cited
  • 2019Neural networks in financial trading41 cited
  • 2022Enhancing stock market anomalies with machine learning40 cited

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2022
BERT’s sentiment score for portfolio optimization: a fine-tuned view in Black and Litterman model
33 cited
  • 2019A hybrid optimized error correction system for time series forecasting24 cited
  • 2024The role of news-based sentiment in forecasting crude oil price during the Covid-19 pandemic24 cited