Data-Driven Prediction of Key Attributes for Tobacco Products.
Shunpeng PangRuotong HuBaoqi GuoJunhua JiaXiangqian DingShusong YuPublished in: BDE (2021)
Keyphrases
- feature selection
- data driven
- machine learning
- prediction accuracy
- neural network
- prediction algorithm
- prediction error
- real time
- attribute selection
- prediction model
- attribute values
- artificial intelligence
- motion estimation
- decision trees
- product design
- genetic algorithm
- product information
- database
- features extraction
- relevant attributes
- commercial products