首页|Studies from Taiyuan University of Technology Reveal New Findings on Machine Lea rning (Research on Annual Runoff Prediction Model Based on Adaptive Particle Swa rm Optimization-Long Short-Term Memory with Coupled Variational Mode Decompositi on ...)
Studies from Taiyuan University of Technology Reveal New Findings on Machine Lea rning (Research on Annual Runoff Prediction Model Based on Adaptive Particle Swa rm Optimization-Long Short-Term Memory with Coupled Variational Mode Decompositi on ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Taiyuan, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Accurate me dium- and long-term runoff prediction models play crucial guiding roles in regio nal water resources planning and management. However, due to the significant var iation in and limited amount of annual runoff sequence samples, it is difficult for the conventional machine learning models to capture its features, resulting in inadequate prediction accuracy.” Funders for this research include National Natural Science Foundation of China; Basic Research Programs of Shanxi Province; Open Research Fund of Henan Key Labo ratory of Water Resources Conservation And Intensive Utilization in The Yellow R iver Basin.
Taiyuan University of Technology, Taiyua n, People’s Republic of China, Asia, Cyborgs, Emerging Technologies, Machine Lea rning, Particle Swarm Optimization
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