| Issue |
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
|
|
|---|---|---|
| Article Number | 04069 | |
| Number of page(s) | 5 | |
| Section | Urban Public Safety | |
| DOI | https://doi.org/10.1051/e3sconf/201913604069 | |
| Published online | 10 December 2019 | |
Cement pavement performance evaluation based on the discrete Hopfield neural network
1 Chang'an University, Xi’an, Shaanxi, 710064, China
2 China Communication South Road and Bridge CO., LTD, Beijing, 101149, China
Because of the deficiency of the index of cement pavement performance evaluation and the defect of the evaluation method in the specification, the performance of the pavement is comprehensively evaluated by seven optimized indexes and grading standards that reflect functional performance and structure of the pavement. Because the discrete Hopfield neural network is available with simple construction procedure, less training samples, and strong objectivity.The DHNN is constructed by MATLAB to evaluate the performance of test pavement. The ideal cement pavement performance grading evaluation index matrix and 6 places unclassified of test pavement performance evaluation index matrix are input to the neural network then the evaluation result is obtained after simulating and learning. Finally, comparing the result of the DHNN with the fuzzy complex matter element method and the nonlinear fuzzy method, it is proved that the discrete Hopfield neural network evaluation method is reliable.
© The Authors, published by EDP Sciences, 2019
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