التفاصيل البيبلوغرافية
| العنوان: |
The Applications and Future Perspectives of Adaptive Neuro-Fuzzy Inference System in Road Embankment Stability. |
| المؤلفون: |
Mamat, Rufaizal Che, Kasa, Anuar, Siti Fatin Mohd Razali |
| المصدر: |
Journal of Engineering Science & Technology Review; 2019, Vol. 12 Issue 5, p75-90, 16p |
| مصطلحات موضوعية: |
EMBANKMENTS, PARTICLE swarm optimization, SLOPE stability, MATHEMATICAL optimization, DIFFERENTIAL evolution |
| مستخلص: |
The stability of road embankment is influenced by two main factors, namely slope stability and settlement. The use of an adaptive neuro-fuzzy inference system (ANFIS) has received encouraging responses over the last decade in various research areas. This paper aims to elaborate on the previous study on the application of ANFIS to predict factors that affect the stability of road embankment. Additionally, study reports on optimization techniques using ANFIS approach such as genetic algorithms (GA), differential evolution (DE), particle swarm optimization (PSO), shuffled frog leaping algorithm (SFLA) and satin bowerbird optimization algorithm (SBO) is also discussed. It is observed that most researchers developed ANFIS models to predict soil properties. We thus present proposals for future research. Overall, this study highlights the need for ANFIS to predict the stability of road embankment. Interestingly, we find that researchers successfully use the ANFIS model with the ability to predict with acceptable accuracy. Nevertheless, our findings also revealed that no researchers had done the use of ANFIS to predict slope stability and settlement. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Engineering Science & Technology Review is the property of Technological Education Institute of Kavala and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
Full Text Finder