Predicting and Analyzing Accident Severity with Improved LightGBM Method
Author:
Affiliation:
1. Shaanxi University of Science and Technology,School of Electrical and Control Engineering,Xi’an,China
2. Xi'an Jinlu Traffic Engineering Technology Development Co. LTD,Xi’an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10248366/10248210/10248671.pdf?arnumber=10248671
Reference9 articles.
1. The Whale Optimization Algorithm
2. LightGBM: A highly efficient gradient boosting decision tree[C];ke;Advances in Neural Information Processing Systems 30 (NIPS 2017),2017
3. Thyroid Prediction on Imbalanced Datasets Using Machine Learning Classifiers
4. Traffic Accident’s Severity Prediction: A Deep-Learning Approach-Based CNN Network
5. RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model[J];mubariz;IEEE Access,2021
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