Big Data Driven Marine Environment Information Forecasting: A Time Series Prediction Network

The continuous development of industry big data technology requires better computing methods to discover the data value. Information forecast, as an important part of data mining technology, has achieved excellent applications in some industries. However, the existing deviation and redundancy in the...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 29; H. 1; S. 4 - 18
Hauptverfasser:	Wen, Jiabao, Yang, Jiachen, Jiang, Bin, Song, Houbing, Wang, Huihui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Big Data Clustering Data mining Data models Datasets Forecasting forecasting model fuzzy time series Industrial development long short-term memory (LSTM) Marine environment Mathematical models Neural networks Partitions (mathematics) Prediction models Predictive models Redundancy semisupervised learning Sparks Time series analysis Training
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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