PATENT CLAIM ANALYSIS

Application Number: 16242859
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["455", "424000"]

Abstract:
A method for mobile network testing is described wherein at least one testing device is used that is configured to be connected to a mobile network. A predefined set of test procedures is run on the at least one testing device in order to obtain test results assigned to at least one test parameter. The test results of the test procedures are evaluated via a machine learning model. The machine learning model is trained to predict output parameters assigned to the quality of a service based on the test results obtained. Further, a test system, a method for mobile network testing as well as a prediction system are described.

Claim (Index 13):
The method according to  claim 1 , wherein the machine learning model is provided by a neural network.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 99.0
- Lexical Diversity: 2.07143
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14672749', '11304209', '14112311', '14569150', '15263654']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7004216183883213
- 35 USC 102 Novelty (BERT): 0.4868055702874232
- Combined Prediction Score: 0.6790600135782314
- Mean Citation Score: 192.61195
- Max Citation Score: 200.97212
- Similarity Product: 144.44121247623917

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test