Nonlinear dynamic system identification and control via self-regulating modular neural network

An endeavor is made in this paper to describe a self-regulating constructive multi-model neural network called Self-regulating Growing Multi-Experts Network (SGMN) that can approximate an unknown nonlinear function from observed input-output training data. The proposed network is devised to overcome...

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Bibliographic Details
Main Authors: Kiong, L.C., Rajeswari, M., Rao, M.V.C.
Format: Article
Published: 2003
Subjects:
Online Access:http://eprints.um.edu.my/5166/
http://www.scopus.com/record/display.url?eid=2-s2.0-0141633812&origin=resultslist&sort=plf-f&src=s&st1=nonlinear+dynamic+system+identification+and+control+via+self-regulating+modular+neural+network&sid=VvhpQ3rHssIt2bY4XBTlTpF%3a20&sot=b&sdt=b&sl=109&s=TIT
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