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In order to solve the problem of establishing the mathematic model for shield construction faults diagnosis, an approach to the mathematic model by using BP neural network is presented in this paper. The BP neural network model for diagnosing three familiar shield construction faults based on the data of shield excavation parameters was built. The inputs of the model are respectively nine shield excavation...
Flow regeneration noise is a main reason effect on attenuation performance of mufflers, at present no sophisticated software or tool is found to predict effectively flow regeneration noises from mufflers. Prediction of flow regeneration noise from a muffler element of simple expansion chamber is realized using Bp neural network, and comparison of prediction with experiment is carried out. Results...
Because of the importance of dust abatement by sprayer, this paper studies the characteristic of fogdrop generated by one kind of nozzle on basis of Back Propagation (BP) Neural Network, using Marvin-3000 type laser granularity instrument in lab. It is pointed that the maximum and minimum errors of widely used BP Neural Network are 2.18% and 0.61%, when we compute the fogdrop diameter computing repeatedly...
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