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During the analysis of the vertical boom of bridge inspection vehicle, it is not easy for the designer to provide a good design scheme quickly. In order to find a professional CAD software which can quickly obtain the ideal design scheme, the BP neural network algorithm is adopted to obtain the design solution by means of mapping. The better schemes of vertical boom are selected for different types of bridge inspection vehicles. These schemes are used as sample data to train the BP neural network for obtaining weights and thresholds. The trained neural network is used for the rapid design of the vertical boom of bridge inspection vehicle. As long as the design parameters are input, the design scheme of the vertical boom can be output directly.

The Application of BP Neural Network Algorithm in Rapid Design of the Vertical Boom of Bridge Inspection Vehicle