PATENT CLAIM ANALYSIS

Application Number: 15919456
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["318", "561000"]

Abstract:
A machine learning device performs machine learning with respect to a servo control device including a velocity feedforward calculation unit. The machine learning device comprises: a state information acquisition unit configured to acquire from the servo control device, state information including at least position error, and combination of coefficients of a transfer function of the velocity feedforward calculation unit; an action information output unit configured to output action information including adjustment information of the combination of coefficients included in the state information, to the servo control device; a reward output unit configured to output a reward value in reinforcement learning based on the position error included in the state information; and a value function updating unit configured to update an action value function on the basis of the reward value output by the reward output unit, the state information, and the action information.

Claim (Index 2):
The machine learning device according to  claim 1 , wherein the reward output unit outputs the reward value on the basis of an absolute value of the position error.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 90.0
- Lexical Diversity: 2.85185
- Patent Class: 318.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15628641', '15838510', '15368753', '13803453', '15290253']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6967017310991578
- 35 USC 102 Novelty (BERT): 0.4880814714856763
- Combined Prediction Score: 0.6758397051378097
- Mean Citation Score: 212.57303
- Max Citation Score: 220.89268
- Similarity Product: 164.78326474475858

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

Dataset: test