Application of RBF neural network algorithm in dynamic weighing
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College of electronic and information engineering, Xi′an Technological University, Xi′an 71000,China

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TP183

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    Abstract:

    In this paper, focus on the complexity of weighing data in the dynamic detection system of the highway, the different weighing data processing methods to make a comparison, and proposed the use of RBF neural network to deal with the dynamic weighing data. Firstly review introduced the whole vehicle dynamic system, after the radial basis function network topology and the centers of the radial basis function selection are introduced. Finally the testbed to build a testing platform, through experiments with a two axle vehicle with different speed through the test stand, the dynamic parameters acquisition. Finally, using the data collected, using MATLAB to simulate, verify the radial basis function network to the dynamic weighing data processing show good speed and accuracy.

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  • Received:
  • Revised:
  • Adopted:
  • Online: July 01,2016
  • Published: