| Type of Material: | Thesis |
| Title: | Integration of GIS and artificial neural networks to map the landslide susceptibility in Nilgiris district |
| Researcher: | Prabu S |
| Guide: | Ramakrishnan S S |
| Department: | Faculty of Civil Engineering |
| Publisher: | Anna University |
| Place: | Chennai |
| Year: | 01/02/2010 |
| Language: | English |
| Subject: | Artificial neural network | Civil engineering | Gis |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 257151 | |
| 003 | IN-AhILN | |
| 005 | 2013-12-04 10:46:04 | |
| 008 | __ | 130725t2010||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_257151 |
| 040 | __ | |aANNA_600025|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aPrabu S|eResearcher |
| 110 | __ | |aFaculty of Civil Engineering|bAnna University|dChennai |
| 245 | __ | |aIntegration of GIS and artificial neural networks to map the landslide susceptibility in Nilgiris district |
| 260 | __ | |aChennai|bAnna University|c01/02/2010 |
| 502 | __ | |bPhD |
| 518 | __ | |oDate of Notification|d2010-02-01 |
| 520 | __ | |aThe term landslide includes a wide range of ground movement, such as slides, falls, flows etc. mainly based on gravity with the aid of many conditioning and triggering factors. Particularly in the last two decades, there is an increasing international i |
| 653 | __ | |aArtificial neural network |
| 653 | __ | |aCivil engineering |
| 653 | __ | |aGis |
| 700 | __ | |aRamakrishnan S S|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/10083|yShodhganga |
| 905 | __ | |anotification |
User Feedback Comes Under This section.