Direct adaptive neural control of nonlinear systems with extreme learning machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-011-0805-1.pdf
Reference24 articles.
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3. Gomi H, Kawato M (1992) Neural network control for a closed-loop system using feedback-error-learning. Neural Netw 6(7):933–946
4. Huang GB, Babri HA (1998) Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions. IEEE Trans Neural Netw 9(1):224–229
5. Huang GB, Chen L, Siew CK (2006) Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans Neural Netw 17(4):879–892
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