Ads
-
Related paper
- Modeling and Prediction of Surface Roughness in the End Milling Process using Multiple Regression Analysis and Artificial Neural Network
- Using Multiple Linear Regression and Artificial Neural Network to Predict Surface Roughness in Turning Operations
- NUMERICAL PREDICTION OF SURFACE ROUGHNESS IN TURNING OPERATION USING TAGUCHI METHOD AND ARTIFICIAL NEURAL NETWORK
- River Water Level Prediction Modelling using Artificial Neural Network and Multiple Linear Regression
- Use of Artificial Neural Networks to Investigate the Surface Roughness in CNC Milling Machine
- MODELING OF TIG WELDING PROCESS BY REGRESSION ANALYSIS AND NEURAL NETWORK TECHNIQUE
- Comparative Analysis of Multiple Linear Regression and Artificial Neural Network for Predicting Friction and Wear of Automotive Brake Pads Produced from Palm Kernel Shell
- Neural Network and Multiple Regression Models for PM2.5 Prediction in Rabigh, Saudi Arabia: A Comparative Assessment
- Predicting traffic induced noise using artificial neural network and multiple linear regression approach
- MODELING AND OPTIMIZATION OF SURFACE ROUGHNESS IN END MILLING OF ALUMINIUM USING LEAST SQUARE APPROXIMATION METHOD AND RESPONSE SURFACE METHODOLOGY
