Impact of Deep Learning Optimizers and Hyperparameter Tuning on the Performance of Bearing Fault Diagnosis

Computer Science

• Artificial Intelligence 20%
• Candidate Model 40%
• Computational Efficiency 40%
• Convolutional Neural Network 40%
• Deep Learning Method 100%
• Fault Diagnosis 100%
• Leaning Parameter 100%
• Learning Rate 60%
• Model Accuracy 20%
• Model Architecture 20%
• Neural Network Model 20%
• Performance Improvement 20%
• Performance Model 80%
• Search Space 40%

Chemical Engineering

• Artificial Intelligence 33%
• Deep Learning Method 100%
• Neural Network 66%