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Localization and Identification of Structural Nonlinearities Using Neural Networks,n of the proposed approach is demonstrated on an example system with nonlinear elements. The proposed approach does not require data collection from the degrees of freedoms related with nonlinear elements, and furthermore, the proposed approach is sufficiently accurate even in the presence of measurement noise.

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https://doi.org/10.1007/978-3-658-42680-4ation of a fine phase morphology, it balances the moduli of the two rubber phases in the vulcanizate, and it reduces the glass transition temperature (..) of the ENR-25 to minimize the dependence of properties on temperature.