Data-based Approach to Predict Feasibility and Computational Requirement for Chemical Production Scheduling

Computer Science

• Computational Time 100%
• Production Scheduling 100%
• Random Decision Forest 50%
• Processing Cost 50%
• Logistic Regression 50%
• Supervised Learning 50%
• Learning Technique 50%
• Feasible Solution 50%
• Processing Time 50%
• Related Feature 50%
• Predictive Performance 50%
• Domain Knowledge 50%

Chemical Engineering

• Supervised Learning 100%

Keyphrases

• Regression Forest 50%
• Feasibility Classification 50%