PATENT CLAIM ANALYSIS

Application Number: 15926057
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["700", "047000"]

Abstract:
A machine learning device includes a label acquisition unit for acquiring, as a label, a current command that drives a control target of a servo control device in a state in which disturbance is suppressed; an input data acquisition unit for acquiring, as input data, a velocity of the control target driven based on the current command in the state in which disturbance is suppressed; and a learning unit for constructing a learning model for estimating a current to drive the control target from the velocity of the control target, by way of performing supervised leaning with a group of the label and the input data as training data.

Claim (Index 9):
A machine learning method for a machine learning device, comprising the steps of:\n acquiring, as a label, a current command to drive a control target of a servo control device in a state in which disturbance is suppressed; acquiring, as input data, a velocity of the control target driven based on the current command in the state in which disturbance is suppressed; constructing a learning model for estimating the current to drive the control target from the velocity of the control target, by way of performing supervised learning with a group of the label and the input data as training data.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 90.0
- Lexical Diversity: 2.25
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15919456', '15278508', '15335452', '14786511', '10749399']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3666139166360432
- 35 USC 102 Novelty (BERT): 0.4983055450615716
- Combined Prediction Score: 0.3797830794785961
- Mean Citation Score: 206.943624
- Max Citation Score: 238.94899
- Similarity Product: 165.41996154179813

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