dc.contributor.author |
Eti, Mst.Sinhanaznin |
|
dc.date.accessioned |
2022-07-16T08:55:53Z |
|
dc.date.available |
2022-07-16T08:55:53Z |
|
dc.date.issued |
2022-02-05 |
|
dc.identifier.uri |
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8256 |
|
dc.description.abstract |
Road accidents are now a common occurrence in our country. Road accidents are increasing by leaps and bounds in Bangladesh every day. Every day countless people are
losing their lives in road accidents. The effect of a road accident is pitiful. This research
paper has done to analyze the previous year's accidents records in Bangladesh deeply to
predict the death of road accidents by using deep learning machine-learning approach. In
this study, we have applied four models such as Artificial Neural Network, Decision Tree,
K-Nearest Neighbor, Logistic Regression. This research would be helpful for the policymakers and stakeholders related to the road to take the future steps with the highest
accuracy of 98% in Artificial Neural Network algorithm. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
©Daffodil International University |
en_US |
dc.subject |
Artificial neural networks |
en_US |
dc.subject |
Road accidents |
en_US |
dc.subject |
Machine learning |
en_US |
dc.subject |
Deep learning |
en_US |
dc.title |
Predicting the Death of Road Accidents in Bangladesh Using Artificial Neural Network |
en_US |
dc.type |
Thesis |
en_US |