Dissolved oxygen content interval prediction based on auto regression recurrent neural network-Reference-Cited by-同舟云学术

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Dissolved oxygen content interval prediction based on auto regression recurrent neural network

Published:2021-11-05 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Huang Jiande,Huang Yue,Hassan Shahbaz Gul,Xu Longqin,Liu Shuangyin^ORCID

Funder

National Natural Science Foundation of China

special project of laboratory construction of Guangzhou Innovation Platform Construction Plan

Guangzhou Innovation Platform Construction Plan

Foundation for High-level Talents in Higher Education of Guangdong Province

Beijing Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-021-03579-x.pdf

Reference28 articles.

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2. Chryssolouris G, Lee M, Ramsey A (1996) Confidence interval prediction for neural network models. IEEE Trans Neural Netw. https://doi.org/10.1109/72.478409

3. Dong M, Wu H, Hu H, Azzam R, Zhang L, Zheng Z, Gong X (2021) Deformation prediction of unstable slopes based on real-time monitoring and deepar model. Sensors (Switzerl). https://doi.org/10.3390/s21010014

4. Dragomiretskiy K, Zosso D (2014) Variational mode decomposition. IEEE Trans Signal Process. https://doi.org/10.1109/TSP.2013.2288675

5. Efron B, Tibshirani RJ (1993) An Introduction to the Bootstrap. An Introduction to the Bootstrap. https://doi.org/10.1007/978-1-4899-4541-9

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