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- Title
Short-Term Prediction of Marine Sensor Data with Fuzzy Clustering.
- Authors
O'Mara, Aidan; Shahriar, Md. Sumon
- Abstract
In predicting water quality variables in the short term, a novel technique using fuzzy pattern similarity-based fuzzy clustering has been proposed. The experimental results show that the proposed method outperforms than existing similar methods for sea water temperature and conductivity data sets from a marine sensor network for environmental monitoring. The short-term prediction of water quality variables has immense benefit in aquaculture and fisheries industries for decision-making purposes.
- Subjects
DATA analysis; FUZZY clustering technique; WATER quality; SENSOR networks; DECISION making; FISHERIES
- Publication
International Journal of Pattern Recognition & Artificial Intelligence, 2015, Vol 29, Issue 3, p-1
- ISSN
0218-0014
- Publication type
Article
- DOI
10.1142/S0218001415500159