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The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs
المؤلفون المشاركون
Bai, Xiao-zhe
Zhang, Hui-yan
Wang, Xiao-yi
Wang, Li
Xu, Ji-ping
Yu, Jia-bin
المصدر
Advances in Mathematical Physics
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-05-04
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Globally, cyanobacteria blooms frequently occur, and effective prediction of cyanobacteria blooms in lakes and reservoirs could constitute an essential proactive strategy for water-resource protection.
However, cyanobacteria blooms are very complicated because of the internal stochastic nature of the system evolution and the external uncertainty of the observation data.
In this study, an adaptive-clustering algorithm is introduced to obtain some typical operating intervals.
In addition, the number of nearest neighbors used for modeling was optimized by particle swarm optimization.
Finally, a fuzzy linear regression method based on error-correction was used to revise the model dynamically near the operating point.
We found that the combined method can characterize the evolutionary track of cyanobacteria blooms in lakes and reservoirs.
The model constructed in this paper is compared to other cyanobacteria-bloom forecasting methods (e.g., phase space reconstruction and traditional-clustering linear regression), and, then, the average relative error and average absolute error are used to compare the accuracies of these models.
The results suggest that the proposed model is superior.
As such, the newly developed approach achieves more precise predictions, which can be used to prevent the further deterioration of the water environment.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bai, Xiao-zhe& Zhang, Hui-yan& Wang, Xiao-yi& Wang, Li& Xu, Ji-ping& Yu, Jia-bin. 2017. The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs. Advances in Mathematical Physics،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1123327
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bai, Xiao-zhe…[et al.]. The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs. Advances in Mathematical Physics No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1123327
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bai, Xiao-zhe& Zhang, Hui-yan& Wang, Xiao-yi& Wang, Li& Xu, Ji-ping& Yu, Jia-bin. The Adaptive-Clustering and Error-Correction Method for Forecasting Cyanobacteria Blooms in Lakes and Reservoirs. Advances in Mathematical Physics. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1123327
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1123327
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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