Semantic Scholar
Open Access
2019
Highway Compliance Monitoring System using Artificial Neural Network
S. O. Olaosebikan
Abstrak
: In Civil engineering domain, a way determining a highway lifespan is to take a complete spectrum of axle loads and calculate the appropriate equivalence and depreciative factors. Also, vehicle weights are measured by stopping them to measure their axle loads or using the wheel weighing pad as the case may apply. This paper however dived into the use of existing experience data of road pavement lifespans before damages or failure before maintenance or repair. It uses Artificial Neural forecasting model in a supervised learning in Matlab environment with an application developed. The results are evaluated based on mean squared error, fitting and validation performance.
Topik & Kata Kunci
Penulis (1)
S
S. O. Olaosebikan
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2019
- Bahasa
- en
- Sumber Database
- Semantic Scholar
- DOI
- 10.22214/ijraset.2019.9172
- Akses
- Open Access ✓