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An Alternating Efficient Approach for Determination of the NonStationary Responses of Strongly Nonlinear Systems Driven by Random Excitations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An alternating efficient approach for predicting nonstationary response of randomly excited nonlinear systems is proposed by a combination of radial basis function neural network (RBFNN) and stochastic averaging method ...
An Alternating Efficient Approach for Determination of the Non-Stationary Responses of Strongly Nonlinear Systems Driven by Random Excitations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An alternating efficient approach for predicting non-stationary response of randomly excited nonlinear systems is proposed by a combination of radial basis function neural network (RBFNN) and stochastic averaging method ...
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