Handbook of Neural Computing Applications
Handbook of Neural Computing Applications
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
Comparison of NN and LR classifiers in the context of screening native American elders with diabetes
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
In this study, the Marshall Stability (MS) of asphalt concrete under varying temperature and exposure times was modeled by using artificial neural network. In order to investigate the MS based on physical properties, exposure time and environment temperature, exposure times of 1.5, 3, 4.5 and 6h and temperatures of 30^oC, 40^oC and 50^oC were selected. The results showed that at the environment temperature of 17^oC the stability of the asphalt core samples decreased by 40.16% at 30^oC after 1.5h and 62.39% after 6h. At 40^oC, the decrease was 74.31% after 1.5 and 78.10% after 6h. At 50^oC the stability of the asphalt decreased by 83.22% after 1.5h, and 88.66% after 6h. Experiment results and ANN model exhibited good correlation for this reason the ANN method could be used to model the MS.