Predicting Multivariate Time Series Using Subspace Echo State Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s11063-013-9324-7.pdf
Reference21 articles.
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3. Chen SM, Chang YC (2011) Weighted fuzzy rule interpolation based on GA-based weight-learning techniques. IEEE Trans Fuzzy Syst 19(4):729–744
4. Gil PG, Cortes JMR, Hernández SEP, Aquino VA (2011) A neural network scheme for long-term forecasting of chaotic time series. Neural Process Lett 33:215–233
5. Li TS, Feng G, Wang D, Tong SC (2010) Neural-network-based simple adaptive control of uncertain multi-input multi-output non-linear systems. IET Control Theory Appl 4(5):1543–1557
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