A mathematical model of neuro-fuzzy approximation in image classification

2016 ◽  
Author(s):  
Sasi Gopalan ◽  
Linu Pinto ◽  
Sheela C. ◽  
Arun Kumar M. N.
2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Y. H. Wang ◽  
L. Zhu ◽  
Q. X. Wu ◽  
C. S. Jiang

The two-degree-of-freedom (2DOF) hypersonic flutter dynamical system has strong aeroelastic nonlinearities, and it is very difficult to obtain a more precise mathematical model. By considering varying learning rate and σ-modification factor, a novel Levenberg– Marquardt (L–M) method is proposed, based on which, an online fuzzy approximation scheme for 2DOF hypersonic flutter model is established without any human knowledge. Compared with the standard L–M method, the proposed method can obtain faster converge speed and avoid parameter drift. Numerical simulations approve the advantages of the proposed scheme.


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