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Multiple convolutional neural networks for multivariate time series prediction
Neurocomputing, 2019Kang Wang, Kenli Li, Yikun Hu
exaly
Prediction Inference for Time Series
2000In this paper we briefly review Bayesian and frequentist prediction inference for time series, and then advocate the use of guaranteed-content prediction intervals. These intervals are such that their content (or coverage) is guaranteed with a given high probability.
openaire +1 more source
Description and prediction of time series: A general framework of Granular Computing
Expert Systems With Applications, 2015Rami Al-Hmouz +2 more
exaly
Multi-step-ahead time series prediction using multiple-output support vector regression
Neurocomputing, 2014Yukun Bao, Zhongyi Hu
exaly
Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects
IEEE Transactions on Neural Networks and Learning SystemsLei Ren, Zidi Jia, Yuanjun Laili
exaly

