PATENT CLAIM ANALYSIS

Application Number: 16049366
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-09
Patent Classification: ["717", "172000"]

Abstract:
First data related to first validation operations for a plurality of first release combinations is stored, where the first validation operations comprise a first plurality of tasks. Production results for each of the plurality of first release combinations are stored. Second data from execution of a second plurality of tasks of a second validation operation of a second release combination is automatically collected. A quality score for the second release combination based on a comparison of the first data, the second data, and the production results is generated. Responsive to the quality score, the second release combination is shifted from the second validation operation to a production operation.

Claim (Index 5):
The method of  claim 4 , wherein processing the second data through the input nodes of the customized non-linear neural network model comprises:\n operating the input nodes of the input layer to each receive respective data of the second data and output a value; operating the weight nodes of a first one of the sequence of neural network layers using first weight values to combine values that are output by the input nodes to generate first combined values; operating the weight nodes of a last one of the sequence of neural network layers using second weight values to combine the first combined values from the plurality of weight nodes of the first one of the sequence of neural network layers to generate second combined values; and operating the output node of the output layer to combine the second combined values from the weight nodes of the last one of the sequence of neural network layers to generate the quality score.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 2.65909
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15880855', '16036253', '14412590', '15974837', '15199265']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3916683736936012
- 35 USC 102 Novelty (BERT): 0.500470053472001
- Combined Prediction Score: 0.4025485416714411
- Mean Citation Score: 124.318834
- Max Citation Score: 129.96167
- Similarity Product: 81.13416465826809

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