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 7):
A servo control device, comprising:\n the machine learning device according to  claim 3 ; an estimated current generation unit configured to estimate the current to drive the control target from the velocity of the control target, based on the function outputted from the function output unit; a subtraction unit configured to obtain a difference between the current command and the estimated current that was estimated by the estimated current generation unit; and a disturbance compensating unit configured to generate a compensated current for compensating disturbance based on the difference.

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): 0.3688837214006225
- 35 USC 102 Novelty (BERT): 0.4876706047402582
- Combined Prediction Score: 0.3807624097345861
- Mean Citation Score: 206.943624
- Max Citation Score: 238.94899
- Similarity Product: 190.0263915384793

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