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 4):
The machine learning device according to  claim 1 , wherein the servo control device includes a current control unit that constitutes a current feedback loop, and an amplifier, wherein the current command to drive the control target is applied to the control target via the current control unit and the amplifier, and\n wherein the current command inputted to the label acquisition unit is output of the amplifier.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 90.0
- Lexical Diversity: 2.25
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15919456', '15278508', '15335452', '14786511', '10749399']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3950868974562666
- 35 USC 102 Novelty (BERT): 0.4985234221971302
- Combined Prediction Score: 0.405430549930353
- Mean Citation Score: 206.943624
- Max Citation Score: 238.94899
- Similarity Product: 170.2314665849304

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