Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence

Engineering

• Dimensionless 100%
• Artificial Intelligence 100%
• Mass Transport 80%
• Artificial Neural Network Model 80%
• Artificial Neural Network 60%
• Diffusivity 60%
• Root Mean Square Error 40%
• Error Value 40%
• Performance Parameter 20%
• Model Prediction 20%
• Heat Input 20%
• Neural Network Input 20%

Food Science

• Osmotic Solution 33%
• Effective Moisture Diffusivity 33%
• Moisture Loss 33%
• Vacuum Drying 33%