Predicting Calorific Value of Thar Lignite Deposit: A Comparison between Back-propagation Neural Networks (BPNN), Gradient Boosting Trees (GBT), and Multiple Linear Regression (MLR).
Waqas AhmedKhan MuhammadFahad Irfan SiddiquiPublished in: Appl. Artif. Intell. (2020)
Keyphrases
- multiple linear regression
- gradient boosting
- regression model
- software reliability
- input variables
- prediction model
- loss function
- forecasting model
- support vector regression
- artificial neural networks
- linear regression
- decision trees
- genetic programming
- long term
- bp neural network
- logistic regression
- feature extraction