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Wavelet Neural Network for Modeling Chlorophyll a Concentration Affected by Artificial Upwelling
المؤلفون المشاركون
Huang, Haocai
Zheng, Bofu
Wang, Yihong
Wei, Yan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-10-30
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Through bringing nutrient-rich subsurface water to the surface, the artificial upwelling technology is applied to increase the primary marine productivity which could be assessed by Chlorophyll a concentration.
Chlorophyll a concentration may vary with different water physical properties.
Therefore, it is necessary to study the relationship between Chlorophyll a concentration and other water physical parameters.
To ensure the accuracy of predicting the concentration of Chlorophyll a, we develop several models based on wavelet neural network (WNN).
In this study, we build up a three-layer basic wavelet neural network followed by three improved wavelet neural networks, which are namely genetic algorithm-based wavelet neural network (GA-WNN), particle swarm optimization-based wavelet neural network (PSO-WNN), and genetic algorithm & particle swarm optimization-based wavelet neural network (GAPSO-WNN).
The experimental data were collected from Qiandao Lake, China.
The performances of the proposed models are compared based on four evaluation parameters, i.e., R-square, root mean square error (RMSE), mean of error (ME), and distance (D).
The modeling results show that the wavelet neural network can achieve a certain extent of accuracy in modeling the relationships between Chlorophyll a concentration and the five input parameters (salinity, depth, temperature, pH, and dissolved oxygen).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Huang, Haocai& Zheng, Bofu& Wang, Yihong& Wei, Yan. 2019. Wavelet Neural Network for Modeling Chlorophyll a Concentration Affected by Artificial Upwelling. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1195680
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Huang, Haocai…[et al.]. Wavelet Neural Network for Modeling Chlorophyll a Concentration Affected by Artificial Upwelling. Mathematical Problems in Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1195680
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Huang, Haocai& Zheng, Bofu& Wang, Yihong& Wei, Yan. Wavelet Neural Network for Modeling Chlorophyll a Concentration Affected by Artificial Upwelling. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1195680
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195680
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