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 3):
The circuit configuration optimization apparatus according to  claim 1 , wherein\n the learning section includes a reward calculation section that calculates rewards relating to the propriety determination results, and a value function update section that updates, using the rewards, a function that expresses values of the circuit configuration of the FPGA device for the error occurrence state of the FPGA device.

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): 0.3117791392319863
- 35 USC 102 Novelty (BERT): 0.4644395336116234
- Combined Prediction Score: 0.3270451786699501
- Mean Citation Score: 164.580472
- Max Citation Score: 167.6438
- Similarity Product: 123.54344636292456

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