| contributor author | Tarek Sayed | |
| contributor author | Walid Abdelwahab | |
| date accessioned | 2017-05-08T21:12:43Z | |
| date available | 2017-05-08T21:12:43Z | |
| date copyright | January 1998 | |
| date issued | 1998 | |
| identifier other | %28asce%290887-3801%281998%2912%3A1%2842%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/42929 | |
| description abstract | This paper investigates the classification of road accidents using neural networks and fuzzy classification techniques. Accident correctability by road improvements has been advocated as an important criterion in the identification of accident-prone locations. Sayed et al. (1995) described a method to identify accident correctability using a fuzzy classification algorithm (fuzzy | |
| publisher | American Society of Civil Engineers | |
| title | Comparison of Fuzzy and Neural Classifiers for Road Accidents Analysis | |
| type | Journal Paper | |
| journal volume | 12 | |
| journal issue | 1 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(1998)12:1(42) | |
| tree | Journal of Computing in Civil Engineering:;1998:;Volume ( 012 ):;issue: 001 | |
| contenttype | Fulltext | |
