A predictive integrated framework based on the radial basis function for the modelling of the flow of pharmaceutical powders

Keyphrases

• Pharmaceutical Powders 100%
• Radial Basis Function 100%
• Flowability 100%
• Flow Modeling 100%
• Integrated Network 80%
• Single Component 60%
• Particle Size 40%
• Material Type 40%
• Shape Descriptor 40%
• Flow Function Coefficient 40%
• Modeling Framework 20%
• Binary Mixture 20%
• Performance Prediction 20%
• Bulk Density 20%
• Flow Properties 20%
• Radial Basis Function Neural Network (RBFNN) 20%
• Size-and-shape 20%
• Predictive Power 20%
• Artificial Intelligence 20%
• Component Size 20%
• Sized Types 20%
• Testing Data 20%
• Material Waste 20%
• Generalization Ability 20%
• Particle Shape 20%
• Design Space 20%
• Particle Material 20%
• Modeling Paradigms 20%
• Size Descriptor 20%
• Coefficient of Determination 20%

Chemical Engineering

• Radial Basis Function Network 100%
• Artificial Intelligence 100%

Material Science

• Flowability 100%
• Density 20%
• Materials Class 20%
• Binary Mixture 20%
• Materials Property Type 20%