Artificial neural networks in slope of road embankment stability applications: a review and future perspectives
Journal: International Journal of Advanced Technology and Engineering Exploration (IJATEE) (Vol.8, No. 75)Publication Date: 2021-02-27
Authors : Rufaizal Che Mamat Azuin Ramli Abd Manan Samad Anuar Kasa Siti Fatin Mohd Razali; Mohd Badrul Hafiz Che Omar;
Page : 304-319
Keywords : Artificial neural network; Multilayer feedforward neural networks; Road embankment; Slope stability; Prediction.;
Abstract
The artificial or neural network is one of the branches of the artificial intelligence method. Over the last few decades, artificial neural networks (ANNs) have been widely used to predict embankment stability. This paper will provide a detailed review of the ANN application, which is multilayer feedforward neural networks (MLFNN) in road embankment stability. A proposal for further research needs in this area is also discussed. Due to its acceptable accuracy prediction, the ANN model is widely recognized as a successful embankment stability approach. Based on the findings of this paper, it will be able to pave the way for researchers to use the ANN in predicting the stability of road embankment comprehensively.
Other Latest Articles
- Transformer health index prediction using feedforward neural network according to scoring and ranking method
- COLOUR PARADIGM IN PACKAGING: IMPACTING PURCHASE BEHAVIOUR IN INDIAN URBAN POPULATION
- An enhanced frontier strategy with global search target-assignment approach for autonomous robotic area exploration
- Development of a smart ugali cooker
- DETERMINANTS OF CASH HOLDINGS OF SUBSIDIARIES OF MULTI-NATIONAL CORPORATIONS (MNCS) OPERATING IN PAKISTAN
Last modified: 2021-03-06 16:10:12