Study on hydraulic vibration system based on artificial neural network
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    Abstract:

    The hydraulic vibration system of two freedom hydraulic vibration roller was the research object in this paper. Three horizontal subsets were selected in every experimental factor which was ob- tained from the three一dimensional orthogonal experiment to obtain the samples of the training neural network. The mathematic model was built by artificial neural network theory and the optimum tom- bined parameters of horizontal subsets were established by means of Mtalab simulation. The results show that target value of the optimum combined is 0. 552 3 and the stiffness of the system is 3. 3 N/ mm through the artificial neural network mathematics model. This meets the project requirement be- cause of the relative error of 10.46% between experimental results and experimental target value.

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GUO Zhi-gang, LI Wen-xuan, FENG Ji-gang. Study on hydraulic vibration system based on artificial neural network[J].,2012,29(2):78-80

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History
  • Received:November 05,2011
  • Revised:
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  • Online: January 12,2015
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