Parameter identification of multibody vehicle models using neural networks

A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams

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Parameter identification of multi-body railway vehicle models – Application of the adjoint state approach

(2016) S. Kraft et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing parameter identification of rotor-bearing system based on Kriging surrogate model and evolutionary algorithm

(2013) Fang Han et al.   JOURNAL OF SOUND AND VIBRATION

Optimization of material parameter identification in biomechanics

(2013) N. Harb et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Improved calibration of simulation models in railway dynamics: application of a parameter identification process to the multi-body model of a TGV train

(2013) S. Kraft et al.   VEHICLE SYSTEM DYNAMICS

Surrogate-assisted evolutionary computation: Recent advances and future challenges

(2011) Yaochu Jin   Swarm and Evolutionary Computation

Parameter identification of an elasto-plastic behaviour using artificial neural networks–genetic algorithm method

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Identification of multibody vehicle models for crash analysis using an optimization methodology

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