PATENT CLAIM ANALYSIS

Application Number: 15961465
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["706", "012000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned identification of radio frequency (RF) signals. One of the methods includes: determining an RF signal configured to be transmitted through an RF band of a communication medium; determining first classification information that is associated with the RF signal, and that includes a representation of a characteristic of the RF signal or a characteristic of an environment in which the RF signal is communicated; using at least one machine-learning network to process the RF signal and generate second classification information as a prediction of the first classification information; calculating a measure of distance between (i) the second classification information that was generated by the at least one machine-learning network, and (ii) the first classification information associated with the RF signal; and updating the at least one machine-learning network based on the measure of distance.

Claim (Index 23):
The system of  claim 16 , wherein updating the at least one machine-learning network comprises:\n updating at least one network weight or at least one connection in one or more layers of at least one artificial neural network that forms part of the at least one machine-learning network.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 91.0
- Lexical Diversity: 2.13924
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15961454', '15955485', '15688678', '15894774', '15938983']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4004535509193318
- 35 USC 102 Novelty (BERT): 0.5105398569571485
- Combined Prediction Score: 0.4114621815231135
- Mean Citation Score: 209.449794
- Max Citation Score: 305.38593
- Similarity Product: 248.07775890264628

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test