Statistical modeling of tensile properties of talc-filled polypropylene based on multivariate regression and neural network analyses

Keyphrases

• Polypropylene 100%
• Tensile Properties 100%
• Neural Network Model 100%
• Multivariate Regression 100%
• Talc 100%
• Neural Network Analysis 100%
• Regression Network 100%
• High Reliability 33%
• Network Model 33%
• Differential Scanning Calorimeter 33%
• Multiple Regression Model 33%
• Rheometer 33%
• Input Factors 33%
• Regression Model 33%
• Gel Permeation Chromatography 33%
• Filler Content 33%
• Average Error Rate 33%
• Speed Differential 33%
• Tensile Speed 33%
• Talc Filler 33%
• Modelling Input 33%
• Homo-polypropylene 33%

Engineering

• Tensile Property 100%
• Network Model 100%
• Electric Network Analysis 100%
• Tensiles 33%
• Error Rate 33%
• Calorimeter 33%
• Filler Content 33%
• Rheometer 33%
• Gel Chromatography 33%

Chemical Engineering

• Polypropylene 100%
• Neural Network 100%
• Gel Permeation Chromatography 25%