Designing Forecasting Parameter Algorithm of Environmental Shrimp Using Recurrent Neural Network

  • Phat Huu Nguyen Hanoi University of Science and Technology
  • Quynh Diem Duong, Ms Graduate School of Electronics and Telecommunications, Hanoi University of Science and Technology
  • Minh Van Luong, Mr. School of Electronics and Telecommunications, HUST Vietnam
  • Hoang Duc Chu, Dr. Ministry of Science and Technology

Abstract

With the strong development of science and technology, the study of technologies related to environmental forecasting is important. In recent years, the application of smart technology in aquaculture has been widely applied. Based on the requirement, we focus on predicting the environmental parameters applied in shrimp farming, especially white shrimp, one of the seafood grown in our country. In the paper, we exploit a small branch of identification problem. This paper proposes an algorithmic construction method to predict changes in shrimp farm environmental parameters and simulate the next parameters based on current parameters. The goal of the paper is to reduce the parameter of Recurrent Neural Network (RNN) while ensuring data accuracy. Experimental results show that the proposal algorithm improves up to 85 percent when selecting suitable learning factor of neural networks.

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Author Biographies

Quynh Diem Duong, Ms, Graduate School of Electronics and Telecommunications, Hanoi University of Science and Technology

Currently, she is student at School of Electronics and Telecommunications, HUST Vietnam. Her research interests include digital image and video processing and smart-home applications.

Minh Van Luong, Mr., School of Electronics and Telecommunications, HUST Vietnam

Currently, he works at Samsung company, Vietnam. His research interests include digital image and video processing and smart-home applications.

Hoang Duc Chu, Dr., Ministry of Science and Technology

Curently, he is head of R and D Funding Department, National Technology Innovation Fund (NATIF). He received PhD in Biomedical Engineering at Hanoi University of Technology and Washington University at St. Louis in 2014. He is Founder and Ceo of Zinmed, Startup company in management and treatment diabetics for over 4 million diabetics in Vietnam. He has over 30 research papers, 20 conferences, 03 Books and 5 projects in Biomedical, Healthcare, ICT, Technology Management and Innovation. Main research interests includes biomedical engineering (Arrhythmia, Diabetes, Medical information system, Medical software), ICT, and Scientific management and innovation

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Published
2020-12-29
How to Cite
NGUYEN, Phat Huu et al. Designing Forecasting Parameter Algorithm of Environmental Shrimp Using Recurrent Neural Network. Journal of Science and Technology: Issue on Information and Communications Technology, [S.l.], v. 18, n. 12.2, p. 8-14, dec. 2020. ISSN 1859-1531. Available at: <http://ict.jst.udn.vn/index.php/jst/article/view/104>. Date accessed: 21 june 2024. doi: https://doi.org/10.31130/ict-ud.2020.104.