Multi-Step Span Loss Prediction in Optical Networks Using Multi-Head Attention Transformers

Keyphrases

• Absolute Maximum 60%
• Better Performance 20%
• Cross-attention Transformer 100%
• DB-linear 20%
• Deep Learning Model 20%
• Error Improvement 20%
• Forecast Horizon 40%
• Linear Regression 80%
• Long Model 20%
• Loss Prediction 100%
• Maximum Absolute Errors 60%
• Model Average 20%
• Model Evaluation 20%
• Multi-step Model 40%
• Multi-step Prediction 20%
• Naive Approach 40%
• Naive Model 40%
• Optical Networks 100%
• Optimal Performance 20%
• Performance Monitoring 20%
• Prediction Accuracy 20%
• Prediction Task 20%
• Proactive Monitoring 20%
• Recurrent Neural Network 80%
• Root Mean Square Error 40%
• Self-attention Mechanism 20%
• Single-step Model 60%
• Span Loss 100%
• Transformer 20%
• Transformer-XL 20%
• Window Size 100%

Computer Science

• Deep Learning Model 25%
• Fiber Optic Networks 100%
• Naïve Approach 50%
• Optimal Performance 25%
• Performance Model 25%
• Recurrent Neural Network 100%
• Self-Attention Mechanism 25%

Medicine and Dentistry

• Deep Learning Model 25%
• Linear Regression Analysis 100%