Statistical analysis of IP documents on “Artificial Neural Network” from Google Patents Database
Statistical analysis of IP documents on “Artificial Neural Network” from Google Patents Database
김기두(국민대학교); Shifat Hossain(국민대학교)
7권 1호, 33~40쪽
초록
Machine Learning (ML), a subset of Artificial Intelligence (AI) is a scientific study of algorithms and statistical models. A computer uses these learning algorithms to perform tasks without direct instructions from the programmer. Among many machine learning models, Artificial Neural Networks (ANN) are widely used today for different problems. Many noble works are proposed as well as established in this field for problems which are very hard to deduce solution with traditional methods. In this paper the proposed noble works regarding this topic are analyzed statistically, which are found in the Google Patents Database.
Abstract
Machine Learning (ML), a subset of Artificial Intelligence (AI) is a scientific study of algorithms and statistical models. A computer uses these learning algorithms to perform tasks without direct instructions from the programmer. Among many machine learning models, Artificial Neural Networks (ANN) are widely used today for different problems. Many noble works are proposed as well as established in this field for problems which are very hard to deduce solution with traditional methods. In this paper the proposed noble works regarding this topic are analyzed statistically, which are found in the Google Patents Database.
- 발행기관:
- 한국지식재산교육연구학회
- 분류:
- 지적재산권