Using neural networks to predict peak Cryptosporidium concentrations

Engineering

• Correlation 50%
• Cryptosporidium Oocysts 50%
• Evaluation 50%
• Facilities 100%
• Independent Variables 100%
• Input Parameter 100%
• Linear Relationship 50%
• Mathematical Model 50%
• Model 100%
• Network Model 100%
• Neural Network Training 50%
• Performance 50%
• Quantity 50%
• River 50%
• Specific Site 50%
• Water 100%
• Water Treatment 100%
• Water Treatment Plant 50%

Food Science

• Clostridium 33%
• Cryptosporidium 100%
• Plant-Based Food 33%