Modelling approach of a cymene-Si-Oil damping shock absorber based on neural network algorithm

A new kind of shock absorber with oil damping through coupling the cymene-Si-oil and spring is designed for reinforcement of electronic-information equipment. It is important to evaluate the damping force properties of the shock absorber. The objective of this paper is to apply a BP neural-network model to simulate non-linear characteristics occurring within the shock absorber. Comparisons between the experimental data and simulation confirm the validity of the model. So the research work submits a valid perspective for design and evaluation of the new cymene-Si-oil damping shock absorber.

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