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 2):
The circuit configuration optimization apparatus according to  claim 1 , wherein the state observation section further observes FPGA device operating state data containing, as the state variable, at least any of a heating value, power consumption, and operating speed of the FPGA device, and\n the learning section learns the circuit configuration of the FPGA device in association with both the FPGA error occurrence state data and the FPGA device operating state data.

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): 0.3094076230039085
- 35 USC 102 Novelty (BERT): 0.4749428877290425
- Combined Prediction Score: 0.3259611494764219
- Mean Citation Score: 164.580472
- Max Citation Score: 167.6438
- Similarity Product: 112.40651358964443

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