| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6904790 | Applied Soft Computing | 2016 | 11 Pages |
Abstract
- Prediction of ground motion parameters using hybrid soft computing technique.
- The neuro-fuzzy inference system uses Sugeno type fuzzy rules with a randomized fuzzy layer and a linear neural network output layer.
- Faster prediction of peak ground acceleration, velocity and displacement with increased accuracy.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Sonia Thomas, G.N. Pillai, Kirat Pal, Pushpak Jagtap,