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• W2148741007 abstract "Abstract The identification and simulation of dynamic systems is still a challenging problem. In this article some basic aspects of neuro-fuzzy techniques for the identification and simulation of time-dependent physical systems are presented. In particular, a neuro-fuzzy model that can be used for the identification and the (real-time) simulation of viscoelastic models, is described. The presented model is motivated by a cooperative neuro-fuzzy approach based on a vectorized recurrent neural network architecture. The physical motivation of this model is illustrated and specific propagation procedures and a learning algorithm are presented. Moreover, the usability in practice is demonstrated by an application of the model in the area of surgical simulation." @default.
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• W2148741007 date "2001-02-01" @default.
• W2148741007 modified "2023-09-26" @default.
• W2148741007 title "Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems" @default.
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