00000001 - International Journal of Civil Engineering and Technology
CONDITION PREDICTION MODELS OF DETERIORATED TRUNK SEWER USING MULTINOMIAL LOGISTIC REGRESSION AND ARTIFICIAL NEURAL NETWORK
GhassanKhalaf Khalid,BasimHussein Khudair,Volume 10, Issue 1,January 2019,pp.12
Manuscript ID:- 00000-03229
Citing Document(s)
| S.No | Article Title | Authors Name | Volume/Issue/Year | Source Name | Citation |
|---|---|---|---|---|---|
| 1 | 00000-03431 - ANALYSIS ULTIMATE BEARING CAPACITY ON BORED PILE WITH USING ARTIFICIAL NEURAL NETWORK | MuhammadZaki,SPR Wardani,TommyIlyas, | Volume 10,Issue 3,Year 2019 | International Journal of Civil Engineering and Technology | 2 |