Mu Bin

Professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

E-Mail:

Professional Title: Professor

Academic Titles: Professor & Deputy Dean

Discipline: Computer Science and Technology
Computer Software and Theory
Computer Applied Technology
Software Engineering
Electronic Information Engineering
Intelligent Science and technologyy

Recommended Ph.D.Supervisor Recommended MA Supervisor Team member

Achievements of The Thesis

Current Location: Home > Scientific Research > Achievements of The Thesis

Applying Convolutional LSTM Network to Predict El Niño Events: Transfer Learning from the Data of Dynamical Model and Observation

Release time:2022-12-11

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Affiliation of Author(s):计算机科学与技术学院

Journal:10th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2020

Co-author:Mu Bin

Indexed by:会议论文

Page Number:215-219

ISSN No.:会议论文

Translation or Not:no

Date of Publication:2020-01-01

Included Journals:EI、SCOPUS

Mu Bin var _tsites_com_view_mode_type_=8;

Achievements of The Thesis

Applying Convolutional LSTM Network to Predict El Niño Events: Transfer Learning from the Data of Dynamical Model and Observation

Mu Bin