PATENT CLAIM ANALYSIS

Application Number: 15905087
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["700", "044000"]

Abstract:
To easily perform adjustment relating to feedforward control and also to improve command follow-up performance. A machine learning device includes label acquisition means for acquiring, as a label, a command output by a servo control apparatus to a control target device so as to drive and control the control target device, input data acquisition means for acquiring, as input data, an output of the control target device driven based on the command, and learning means for building a learning model relating to feedforward control for correcting the command, by performing supervised learning by use of a set of the label and the input data serving as teacher data.

Claim (Index 6):
A servo control system comprising:\n the machine learning device according to  claim 5 ; and the servo control apparatus including a feedforward compensator for performing feedforward control based on the function output by the function output means.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.25
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15342213', '15343250', '11915261', '13173517', '14298316']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3695827618105503
- 35 USC 102 Novelty (BERT): 0.4870355463712071
- Combined Prediction Score: 0.381328040266616
- Mean Citation Score: 199.997292
- Max Citation Score: 206.82867
- Similarity Product: 147.49224005934656

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test