Analysis and Prediction of Deformation Data Based on Online Echo State Network
Abstract A new kind of on-line predictor is constructed by combining Kalman filtering with the echo state network. The method of Kalman filtering is applied to the echo state network output weights training, directly on-line updating the network output weights, overcoming the defects in traditional recurrent neural network(RNN) which is needed to collect a large number of samples.The examples demonstrate the effectiveness of the proposed method.
Key words :
on-line learning
observation of deformation data
echo state network
Kalman filtering
Cite this article:
SHAN Yi,YANG Jianwei,WANG Xinzhi. Analysis and Prediction of Deformation Data Based on Online Echo State Network[J]. jgg, 2016, 36(7): 617-619.
SHAN Yi,YANG Jianwei,WANG Xinzhi. Analysis and Prediction of Deformation Data Based on Online Echo State Network[J]. jgg, 2016, 36(7): 617-619.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2016/V36/I7/617
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