2015
DOI: 10.1142/s0218001415500159
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Short-Term Prediction of Marine Sensor Data with Fuzzy Clustering

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 shortterm prediction of water quality variables has immense bene¯t in aquaculture and¯sheries industries for decision-making purposes.

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