PATENT CLAIM ANALYSIS

Application Number: 15898731
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["717", "106000"]

Abstract:
There is provided an automatic program generation system that includes: an input unit that receives inputs of input data, target data, and design requirements for a first program to be generated; a program storage unit that stores a plurality of existing second programs; a program generation device that generates the first program; and an output unit that outputs the first program generated by the program generation device, in which the program generation device includes a program analysis unit that analyzes the plurality of second programs stored in the program storage unit to generate a program model, a basic node/constraint generation unit that generates basic nodes and constraints for evolutionary computation based on the program model generated by the program analysis unit and the design requirements input from the input unit, and an optimization unit that generates the first program by the evolutionary computation based on the basic nodes and the constraints generated by the basic node/constraint generation unit and the input data and the target data input from the input unit.

Claim (Index 2):
The automatic program generation system according to  claim 1 ,\n wherein the program model is vector data in which meaning of the second program is encoded, and the program analysis unit extracts syntactic structure information from the plurality of second programs and enumerates node items from the syntactic structure information to learn node vector information, in order to derive the vector data.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 3.0678
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11984047', '12156446', '09767857', '11302226', '10869572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.397395437777522
- 35 USC 102 Novelty (BERT): 0.4917828661006433
- Combined Prediction Score: 0.4068341806098342
- Mean Citation Score: 168.00250599999995
- Max Citation Score: 173.26622
- Similarity Product: 123.9897844751382

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

Dataset: test