A New Multipredictor Ensemble Decision Framework Based on Deep Reinforcement Learning for Regional GDP Prediction
Author:
Affiliation:
1. College of Business and Trade, Hunan Industry Polytechnic, Changsha, China
2. Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University, Changsha, China
Funder
Planning Subject for the 14th Five-Year Plan of Hunan Province Education Sciences
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09764699.pdf?arnumber=9764699
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1. Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach
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3. Analyzing the Impact of GDP on CO2 Emissions and Forecasting Africa’s Total CO2 Emissions with Non-Assumption Driven Bidirectional Long Short-Term Memory
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5. Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm
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