PATENT CLAIM ANALYSIS

Application Number: 15947835
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["716", "052000"]

Abstract:
A circuit configuration optimization apparatus includes a machine learning device that learns a circuit configuration of a FPGA device. The machine learning device observes circuit configuration data of the FPGA device and FPGA error occurrence state data indicating an error occurrence state of the FPGA device as state variables that express a current state of an environment. In addition, the machine learning device acquires determination data indicating propriety determination results of an operating state of the FPGA device. Then, the machine learning device learns the circuit configuration of the FPGA device in association with the FPGA error occurrence state data, using the state variables and the determination data.

Claim (Index 6):
The circuit configuration optimization apparatus according to  claim 1 , wherein\n the learning section learns the circuit configuration of the FPGA device in each of a plurality of industrial machines, using the state variables and the determination data obtained for each of the plurality of industrial machines.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 91.0
- Lexical Diversity: 2.67442
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13523373', '15936490', '15042839', '15293682', '15268665']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3115975571489369
- 35 USC 102 Novelty (BERT): 0.4652410588228048
- Combined Prediction Score: 0.3269619073163237
- Mean Citation Score: 164.580472
- Max Citation Score: 167.6438
- Similarity Product: 122.69251789419653

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