预测陆基水产养殖场溶解氧缺失数据的 LSTM 模型

IF 1.3 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

ETRI Journal Pub Date : 2024-07-19 DOI:10.4218/etrij.2023-0337

Sang‐Yeon Lee, Deuk-young Jeong, Jinseo Choi, Seng-Kyoun Jo, Dae-Heon Park, Jun-gyu Kim

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引用次数: 0

摘要

本文引入了一个长短期记忆（LSTM）模型，用于预测鳗鲡循环水产养殖系统中缺失的溶解氧（DO）数据点。通过现场实验，可以确定溶解氧数据中与昼夜周期和投喂后溶解氧下降相对应的周期性模式。为了通过使用 5:1 的训练与测试数据比来提高溶解氧预测的准确性，使用顺序和反序数据进行了训练和评估。用于预测鱼缸溶解氧水平的 LSTM 模型的误差约为 3.25%。根据溶解氧数据训练的 LSTM 模型具有很高的适用性，可为水产养殖场的水质控制提供支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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LSTM model to predict missing data of dissolved oxygen in land‐based aquaculture farm

A long short‐term memory (LSTM) model is introduced to predict missing datapoints of dissolved oxygen (DO) in an eel (Anguilla japonica) recirculating aquaculture system. Field experiments allow to determine periodic patterns in DO data corresponding to day–night cycles and a DO decrease after feeding. To improve the accuracy of DO prediction by using a training‐to‐test data ratio of 5:1, training with data in sequential and reverse orders is performed and evaluated. The LSTM model used to predict DO levels in the fish tank has an error of approximately 3.25%. The proposed LSTM model trained on DO data has a high applicability and may support water quality control in aquaculture farms.

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来源期刊

ETRI Journal 工程技术-电信学

CiteScore

4.00

自引率

7.10%

发文量

审稿时长

6.9 months

期刊介绍： ETRI Journal is an international, peer-reviewed multidisciplinary journal published bimonthly in English. The main focus of the journal is to provide an open forum to exchange innovative ideas and technology in the fields of information, telecommunications, and electronics. Key topics of interest include high-performance computing, big data analytics, cloud computing, multimedia technology, communication networks and services, wireless communications and mobile computing, material and component technology, as well as security. With an international editorial committee and experts from around the world as reviewers, ETRI Journal publishes high-quality research papers on the latest and best developments from the global community.