Zhang Li-ping. STUDY ON THE PREDICTION MODEL OF THE SINGLE PILE VERTICAL BEARING CAPACITY BASED ON WAVELET PROBABILISTIC NEURAL NETWORK AND ITS USE[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(9): 107-109,161. doi: 10.13204/j.gyjz201209023
Citation:
Zhang Li-ping. STUDY ON THE PREDICTION MODEL OF THE SINGLE PILE VERTICAL BEARING CAPACITY BASED ON WAVELET PROBABILISTIC NEURAL NETWORK AND ITS USE[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(9): 107-109,161. doi: 10.13204/j.gyjz201209023
Zhang Li-ping. STUDY ON THE PREDICTION MODEL OF THE SINGLE PILE VERTICAL BEARING CAPACITY BASED ON WAVELET PROBABILISTIC NEURAL NETWORK AND ITS USE[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(9): 107-109,161. doi: 10.13204/j.gyjz201209023
Citation:
Zhang Li-ping. STUDY ON THE PREDICTION MODEL OF THE SINGLE PILE VERTICAL BEARING CAPACITY BASED ON WAVELET PROBABILISTIC NEURAL NETWORK AND ITS USE[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(9): 107-109,161. doi: 10.13204/j.gyjz201209023
It was analyzed that the applied principles of wavelet probabilistic neural network (WPNN) and data fusion technique in the prediction of single pile vertical bearing capacity, and a prediction model based on WPNN and data fusion technique was set up.This model was examined by the static load test data of tall buildings, and according to the measured data of long-term projects.The error analysis of the predicted values was also carried out by selecting typical specimens, the results showed that the predicted data agreed well with those of the static load test, which verified the better reliability and applied value of WPNN prediction method.
[5] Yoshimnral S,Matsuda A,Yagawa A.New Regularization byTransformation for Neural Network Based Inverse Analyses and ItsApplication to Structure Identification[J].International Journal ofNumerical Methods in Engineering,1996,39(23): 3953-3968.