The Dissolved Oxygen Prediction Method Based on Neural Network
Joint Authors
Peng, Lingxi
Xiao, Zhong
Yi, Chen
Liu, Haohuai
Wang, Jiaqing
Nie, Yangang
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-09
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The dissolved oxygen (DO) is oxygen dissolved in water, which is an important factor for the aquaculture.
Using BP neural network method with the combination of purelin, logsig, and tansig activation functions is proposed for the prediction of aquaculture’s dissolved oxygen.
The input layer, hidden layer, and output layer are introduced in detail including the weight adjustment process.
The breeding data of three ponds in actual 10 consecutive days were used for experiments; these ponds were located in Beihai, Guangxi, a traditional aquaculture base in southern China.
The data of the first 7 days are used for training, and the data of the latter 3 days are used for the test.
Compared with the common prediction models, curve fitting (CF), autoregression (AR), grey model (GM), and support vector machines (SVM), the experimental results show that the prediction accuracy of the neural network is the highest, and all the predicted values are less than 5% of the error limit, which can meet the needs of practical applications, followed by AR, GM, SVM, and CF.
The prediction model can help to improve the water quality monitoring level of aquaculture which will prevent the deterioration of water quality and the outbreak of disease.
American Psychological Association (APA)
Xiao, Zhong& Peng, Lingxi& Yi, Chen& Liu, Haohuai& Wang, Jiaqing& Nie, Yangang. 2017. The Dissolved Oxygen Prediction Method Based on Neural Network. Complexity،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1142968
Modern Language Association (MLA)
Xiao, Zhong…[et al.]. The Dissolved Oxygen Prediction Method Based on Neural Network. Complexity No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1142968
American Medical Association (AMA)
Xiao, Zhong& Peng, Lingxi& Yi, Chen& Liu, Haohuai& Wang, Jiaqing& Nie, Yangang. The Dissolved Oxygen Prediction Method Based on Neural Network. Complexity. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1142968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142968