Neural Network Implementation on Bias Correction of Sea Surface Temperature Forecast

DOI

10.2991/assehr.k.220704.161How to use a DOI?

Keywords

Neural Network; sea surface temperature forecast; bias correction

Abstract

This article introduces the implementation of neural network on making sea surface temperature forecasts more accurate. We manage to utilize LSTM neural network and intended to make comparisons with other networks such as Backward propagation network. We improve the accuracy of prediction by doing bias correction, the detailed solution will be illustrated as follows.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Zhibo Li
AU  - Yike Liu
PY  - 2022
DA  - 2022/07/11
TI  - Neural Network Implementation on Bias Correction of Sea Surface Temperature Forecast
BT  - Proceedings of the 2022 3rd International Conference on Mental Health, Education and Human Development (MHEHD 2022)
PB  - Atlantis Press
SP  - 893
EP  - 896
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220704.161
DO  - 10.2991/assehr.k.220704.161
ID  - Li2022
ER  -