Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2981197
Abstract: For a learning model to be effective in online modeling of nonstationary data, it must not only be equipped with high adaptability to track the changing data dynamics but also maintain low complexity to meet… read more here.
Keywords: time; time series; nonstationary time; fast adaptive ... See more keywords
Broad Echo State Network with Reservoir Pruning for Nonstationary Time Series Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3672905
Abstract: The nonstationary time series is generated in various natural and man-made systems, of which the prediction is vital for advanced control and management. The neural networks have been explored in the time series prediction, but… read more here.
Keywords: network; prediction; nonstationary time; time series ... See more keywords