AI-based technology for analyze and identify the root cause of mobile network failures
Supervised Learning
Learn a large amount of data successfully classified by Rule-based RCA |
Transfer Learning
Support for additional data learning by user request |
Improved Classification Accuracy
Improved classification accuracy to increase the convenience of tracking issues and increase the efficiency of cause analysis |
Learning Data
XCAP Analyzer Log Data |
Learning Type
Supervised learning |
Development/Utilization Model
FCNN, Time-series |
Technology Application/API
PyTorch, Scikit-Learn |
Technology applied to
XCAP |
