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 3):
The machine learning device according to  claim 2 , wherein\n the command is any one of a position command, a speed command and a current command, or any combination of the position command, the speed command and the current command, and wherein the output of the control target device is any one of position feedback, speed feedback and current feedback, or any combination of the position feedback, the speed feedback and the current feedback.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.25
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15342213', '15343250', '11915261', '13173517', '14298316']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3956556147499069
- 35 USC 102 Novelty (BERT): 0.4978768127694785
- Combined Prediction Score: 0.4058777345518641
- Mean Citation Score: 199.997292
- Max Citation Score: 206.82867
- Similarity Product: 133.70998711925446

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

Dataset: test