Application of Offshore Visibility Forecast Based on Temporal Convolutional Network and Transfer Learning
Joint Authors
Lu, Zhenyu
Zheng, Cheng
Yang, Tingya
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Visibility forecasting in offshore areas faces the problems of low observational data and complex weather.
This paper proposes an intelligent prediction method of offshore visibility based on temporal convolutional network (TCN) and transfer learning to solve the problem.
First, preprocess the visibility data sets of the source and target domains to improve the quality of the data.
Then, build a model based on temporal convolutional network and transfer learning (TCN_TL) to learn the visibility data of the source domain.
Finally, after transferring the knowledge learned from a large amount of data in the source domain, the model learns the small data set in the target domain.
After completing the training, the model data of the European Mid-Range Weather Forecast Center (ECMWF) meteorological field were selected to test the model performance.
The method proposed in this paper has achieved relatively good results in the visibility forecast of Qiongzhou Strait.
Taking Haikou Station in the spring and winter of 2018 as an example, the forecast error is significantly lower than that before the transfer learning, and the forecast score is increased by 0.11 within the 0-1 km level and the 24 h forecast period.
Compared with the CUACE forecast results, the forecast error of TCN_TL is smaller than that of the former, and the TS score is improved by 0.16.
The results show that under the condition of small data sets, transfer learning improves the prediction performance of the model, and TCN_TL performs better than other deep learning methods and CUACE.
American Psychological Association (APA)
Lu, Zhenyu& Zheng, Cheng& Yang, Tingya. 2020. Application of Offshore Visibility Forecast Based on Temporal Convolutional Network and Transfer Learning. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1138945
Modern Language Association (MLA)
Lu, Zhenyu…[et al.]. Application of Offshore Visibility Forecast Based on Temporal Convolutional Network and Transfer Learning. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1138945
American Medical Association (AMA)
Lu, Zhenyu& Zheng, Cheng& Yang, Tingya. Application of Offshore Visibility Forecast Based on Temporal Convolutional Network and Transfer Learning. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1138945
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138945