Prediction Research of Red Tide Based on Improved FCM
Joint Authors
Xiaomei, Hu
Qu, Hewei
Shi, Xinran
Wang, Dong
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Red tides are caused by the combination effects of many marine elements.
The complexity of the marine ecosystem makes it hard to find the relationship between marine elements and red tides.
The algorithm of fuzzy c -means (FCM) can get clear classification of things and expresses the fuzzy state among different things.
Therefore, a prediction algorithm of red tide based on improved FCM is proposed.
In order to overcome the defect of FCM which is overdependent on the initial cluster centers and the objective function, this paper gains the initial cluster centers through the principle of regional minimum data density and the minimum mean distance.
The feature weighted cluster center is added to the objective function.
Finally, the improved FCM algorithm is applied in the prediction research of red tide, and the results show that the improved FCM algorithm has good denoising ability and high accuracy in the prediction of red tides.
American Psychological Association (APA)
Xiaomei, Hu& Wang, Dong& Qu, Hewei& Shi, Xinran. 2016. Prediction Research of Red Tide Based on Improved FCM. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112898
Modern Language Association (MLA)
Xiaomei, Hu…[et al.]. Prediction Research of Red Tide Based on Improved FCM. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112898
American Medical Association (AMA)
Xiaomei, Hu& Wang, Dong& Qu, Hewei& Shi, Xinran. Prediction Research of Red Tide Based on Improved FCM. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112898
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112898