Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/42230| Title: | Artificial neural network modelling and economic analysis of soil subgrade stabilized with flyash and geotextile |
| Authors: | Rajakumar, C. Meenambal, T. |
| Keywords: | Subgrade;Flyash;Geotextile;CBR;ANN;MRA;Cost analysis |
| Issue Date: | Jul-2017 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | For analysis of stabilization of soil using fly ash, MAT LAB (7.12.0) has been employed. The effects of number of neurons in hidden layer with different algorithms are also investigated. Levenberg-Marquardt back propagation shows maximum R value of 0.97637 and minimum MSE value of 8.0242e-11. Economic beneficial are also investigated with local rates of the materials. |
| Page(s): | 1454-1461 |
| ISSN: | 0975-1033 (Online); 0379-5136 (Print) |
| Appears in Collections: | IJMS Vol.46(07) [July 2017] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJMS 46(7) 1454-1461.pdf | 378.1 kB | Adobe PDF | View/Open |
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