Modelling of a magneto-rheological damper by evolving radial basis function networks

Author:

Du Haiping,Lam James,Zhang Nong

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference18 articles.

1. Neural network modeling of a magnetorheological damper;Chang;Journal of Intelligent Material Systems and Structures,1998

2. Neural network emulation of inverse dynamics for a magnetorheological damper;Chang;Journal of Structural Engineering,2002

3. Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks;Chen;IEEE Transactions on Neural Networks,1999

4. A hysteresis model for the field-dependent damping force of a magnetorheological damper;Choi;Journal of Sound and Vibration,2001

5. Darken, C., Moody, J., 1990. Fast adaptive k-means clustering: some empirical results. In: IJCNN International Joint Conference on Neural Networks, 1990, pp. 233–238.

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