Technology analysis of artificial intelligence using Bayesian inference for neural networks

Authors

  • Sunghae Jun

DOI:

https://doi.org/10.14419/ijet.v7i2.3.9965

Published:

2018-03-08

Keywords:

Artificial intelligence, Technology analysis, Bayesian inference, Neural networks, Patent.

Abstract

At present, artificial intelligence (AI) technology is receiving much attention and applied in each field of society. AI is one of the key technologies to lead the fourth industrial revolution along with the internet of things and big data. Therefore, many companies and research institutes are trying to systematically analyze AI technology in order to understand the AI itself correctly. In this paper, we also study on a method to analyze AI technology based on quantitative approach. We correct the patent documents related to AI technology, and analyze them using statistical modelling. We use Bayesian inference for neural networks to build our proposed method. To verify the validity of our research, we carry out a case study using the AI patent documents.

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