Mathematic model for preparing high-purity nanosilica from rice husk with BP neural network

Engineering

• Average Particle Size 33%
• Combustion Temperature 66%
• Field-Emission Scanning Electron Microscopy 33%
• FTIR Spectroscopy 33%
• Hydrochloric Acid 33%
• Major Factor 66%
• Pore Diameter 33%
• Ray Diffraction 33%
• Relative Error 33%
• Rice Husk 100%
• Silicon Dioxide 100%

Material Science

• Field Emission Scanning Electron Microscopy 50%
• Fourier Transform Infrared Spectroscopy 50%
• Nanosilica 100%
• Pore Size Distribution 50%
• Volume Fraction 100%
• X-Ray Diffraction 50%

Chemical Engineering

• Hydrochloric Acid 50%
• Neural Network 100%