Data fusion combined with echo state network for multivariate time series prediction in complex electromechanical system

DOI10.1007/S40314-018-0669-4zbMath1413.62220OpenAlexW2810740398WikidataQ129612119 ScholiaQ129612119MaRDI QIDQ1715657

Jianmin Gao, Yanjie Liang, Zhiyong Gao, Rongxi Wang, Hao. Zhao

Publication date: 29 January 2019

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-018-0669-4

zbMATH Keywords

echo state networkphase space reconstructionlocality preserving projectionadaptive weighted fusion estimatingmultivariate time series prediction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Estimation in multivariate analysis (62H12) Applications of statistics in engineering and industry; control charts (62P30) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (1)

A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series

Cites Work

• Forecasting traffic time series with multivariate predicting method
• Optimization and applications of echo state networks with leaky- integrator neurons
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