Robotics & Machine Learning Daily News2024,Issue(Jan.10) :69-69.

New Findings Reported from Hangzhou Dianzi University Describe Advances in Machine Learning (Ionospheric Fof2 Nowcast Based On a Machine Learning Gwo-alstm Model)

Robotics & Machine Learning Daily News2024,Issue(Jan.10) :69-69.

New Findings Reported from Hangzhou Dianzi University Describe Advances in Machine Learning (Ionospheric Fof2 Nowcast Based On a Machine Learning Gwo-alstm Model)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Hangzhou, People’s Republic of China, by NewsRx journalists, researchstated, “The ionospheric foF2 prediction model GWO-ALSTM is proposed in this paper, which combinesthe Gray Wolf Optimization (GWO) algorithm and the attention mechanism based on the long short-termmemory (LSTM) model. The datasets used in this model were obtained from the oblique ionosondes ofthe China Ground-based Seismo-ionospheric Monitoring Network.”

Key words

Hangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Hangzhou Dianzi University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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