Michel van Tooren

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Radial basis function neural networks (RBFNNs) are widely used in nonlinear function approximation. One of the challenges in RBFNN modeling is determining how to effectively optimize width parameters to improve approximation accuracy. To solve this problem, a width optimization method, concurrent subspace width optimization (CSWO), is proposed based on a(More)
This paper proposes algorithms for mechanism synthesis and analysis, Index. These algorithms are used to transfer behaviors into structures, and to transfer structures into kinematic and dynamic behaviors of the structures. The algorithms are valid for the synthesis and analysis of different mechnisms. These algorithms can be used iteratively to produce(More)
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