Information Processing in Raft Vibration-isolating Unit Neural Network Optimizing Design

摘要

The paper detailed the information processing in BP neural network: defining the layer numbers of hidden neurons, defining the processing unit numbers of hidden neurons, defining the train numbers and selecting original value; input and output parameters expression etc. On the principle, the paper designed a neural network to the raft vibration-isolating unit optimizing design. Given the technical design of the selected floating raft isolating unit, its structural parameters, the number of vibration isolators and their installation positions, the evaluation system can calculate the natural frequencies, vibration modes, the attenuation result, modular state, stability and anti-shock performances, simulate the shock response, dynamic response of the unit. And also, the simulation system can display the design effect of the selected scheme vividly.