Abstract
Minimal resource allocating network (MRAN) is a recent algorithm for implementing fully tuned RBF network. Unlike the derived parameter tuning rules in Chapter 3, in MRAN algorithm, an extended Kalman filter (EKF) is utilized to update all the parameters of the RBFN. Although lacking a strict mathematical proof, MRAN was shown to be more effective than other algorithms (like RAN and RANEKF) in function approximation and pattern classification [60].
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© 2002 Springer Science+Business Media New York
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Sundararajan, N., Saratchandran, P., Li, Y. (2002). Real-Time Identification of Nonlinear Systems Using MRAN/EMRAN Algorithm. In: Fully Tuned Radial Basis Function Neural Networks for Flight Control. The Springer International Series on Asian Studies in Computer and Information Science, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5286-1_3
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DOI: https://doi.org/10.1007/978-1-4757-5286-1_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4915-8
Online ISBN: 978-1-4757-5286-1
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