## PSO assisted NURB Neural Network IdentificationTools
Hong, X. and Chen, S.
(2012)
Full text not archived in this repository. Official URL: http://dx.doi.org/10.1007/978-3-642-31588-6_1 ## Abstract/SummaryA system identification algorithm is introduced for Hammerstein systems that are modelled using a non-uniform rational B-spline (NURB) neural network. The proposed algorithm consists of two successive stages. First the shaping parameters in NURB network are estimated using a particle swarm optimization (PSO) procedure. Then the remaining parameters are estimated by the method of the singular value decomposition (SVD). Numerical examples are utilized to demonstrate the efficacy of the proposed approach.
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