scholarly journals AN IMPROVED PREDICTION MODEL FOR BOND STRENGTH OF DEFORMED BARS IN RC USING UPV TEST AND ARTIFICIAL NEURAL NETWORK

2020 ◽  
Vol 18 (65) ◽  
Author(s):  
Nolan Concha
2012 ◽  
Vol 217-219 ◽  
pp. 1526-1529
Author(s):  
Yu Mei Liu ◽  
Wen Ping Liu ◽  
Zhao Liang Jiang ◽  
Zhi Li

A prediction model of deflection is presented. The Artificial Neural Network (ANN) is adopted, and ANN establishes the mapping relation between the clamping forces and the position of fixing and the value of deflection. The results of simulation of Abaqus software is used for Training and querying an ANN. The predicted values are in agreement with simulated data and experimental data.


RSC Advances ◽  
2017 ◽  
Vol 7 (56) ◽  
pp. 35274-35282 ◽  
Author(s):  
Li Mengshan ◽  
Wu Wei ◽  
Chen Bingsheng ◽  
Wu Yan ◽  
Huang Xingyuan

Solubility prediction model based on a hybrid artificial neural network.


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