MIMO Lyapunov theory-based RBF neural classifier for traffic sign recognition

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MIMO Lyapunov theory-based RBF neural classifier for traffic sign recognition

Lyapunov theory-based radial basis function neural network (RBFNN) is developed for traffic sign recognition in this paper to perform multiple inputs multiple outputs (MIMO) classification. Multidimensional input is inserted into RBF nodes and these nodes are linked with multiple weights. An iterati...

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Bibliographic Details
Main Authors:	Lim, King Hann, Seng, Kah Phooi, Ang, Li-Minn
Format:	Journal Article
Published:	Hindawi 2012
Online Access:	http://hdl.handle.net/20.500.11937/48247

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