Three-Dimensional Short-Term Prediction Model of Dissolved Oxygen Content Based on PSO-BPANN Algorithm Coupled with Kriging Interpolation
Joint Authors
Li, Daoliang
Chen, Yingyi
Xu, Jing
Yu, Huihui
Zhen, Zhumi
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Dissolved oxygen (DO) content is a significant aspect of water quality in aquaculture.
Prediction of dissolved oxygen may timely avoid the financial loss caused by inappropriate dissolved oxygen content and three-dimensional prediction can achieve more accurate and overall guidance.
Therefore, this study presents a three-dimensional short-term prediction model of dissolved oxygen in crab aquaculture ponds based on back propagation artificial neural network (BPANN) optimized by particle swarm optimization (PSO), which coupled with Kriging method.
In this model, wavelet analysis is adopted for denoising, BPANN optimized by PSO is utilized for data analysis and one-dimensional prediction, and Kriging method is used for three-dimensional prediction.
Compared with traditional one-dimensional prediction model, three-dimensional model has more real reaction of dissolved oxygen content in crab growth environment.
In particular, the merits of PSO are evaluated against genetic algorithm (GA).
The root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) for PSO model are 0.136445, 0.90534, and 0.15384, respectively, while for the GA model the values are 2.04184, 1.18316, and 0.21014, respectively.
Furthermore, results of cross validation experiment show that the average error of this model is 0.0705 (mg/L).
Consequently, this study suggests that the prediction model operates in a satisfactory manner.
American Psychological Association (APA)
Chen, Yingyi& Xu, Jing& Yu, Huihui& Zhen, Zhumi& Li, Daoliang. 2016. Three-Dimensional Short-Term Prediction Model of Dissolved Oxygen Content Based on PSO-BPANN Algorithm Coupled with Kriging Interpolation. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112470
Modern Language Association (MLA)
Chen, Yingyi…[et al.]. Three-Dimensional Short-Term Prediction Model of Dissolved Oxygen Content Based on PSO-BPANN Algorithm Coupled with Kriging Interpolation. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112470
American Medical Association (AMA)
Chen, Yingyi& Xu, Jing& Yu, Huihui& Zhen, Zhumi& Li, Daoliang. Three-Dimensional Short-Term Prediction Model of Dissolved Oxygen Content Based on PSO-BPANN Algorithm Coupled with Kriging Interpolation. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112470
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112470