Effects of Learning Rates and Optimization Algorithms on Forecasting Accuracy of Hourly Typhoon Rainfall: Experiments With Convolutional Neural Network-Reference-Cited by-同舟云学术

Effects of Learning Rates and Optimization Algorithms on Forecasting Accuracy of Hourly Typhoon Rainfall: Experiments With Convolutional Neural Network

Published:2022-03 Issue:3 Volume:9 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Uddin Md. Jalal¹²³^ORCID,Li Yubin¹²^ORCID,Sattar Md. Abdus³⁴,Nasrin Zahan Most.¹²³,Lu Chunsong¹^ORCID

Affiliation:

1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters School of Atmospheric Physics Nanjing University of Information Science and Technology Nanjing China

2. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Zhuhai China

3. Research Society Dhaka Bangladesh

4. Department of Disaster Risk Management Patuakhali Science and Technology University Patuakhali Bangladesh

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021EA002168

Reference93 articles.

1. Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting

2. Machine Learning Strategies for Time Series Forecasting

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