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Predictive Analysis of the Impact of Corporate R&D Support Using Deep Learning
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딥러닝을 활용한 정부 R&D 기업지원효과 예측 분석

논문 기본 정보

Type
Proceeding
Author
Pilseong Jang (과학기술정책연구원) You Jaeyoun (서울대학교) Seung Hwan Oh (과학기술정책연구원)
Journal
Korea Technology Innovation Society 한국기술혁신학회 학술대회 한국기술혁신학회 2019년도 춘계공동학술대회 논문집
Published
2019.5
Pages
413 - 433 (21page)

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Predictive Analysis of the Impact of Corporate R&D Support Using Deep Learning
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Research history (2)

2020

Predictive Analysis of the Impact of Corporate R&D Support Using Deep Learning
Pilseong Jang ,  You Jaeyoun ,  Seung Hwan Oh Journal of Korea Technology Innovation Society 2020.02 Academic journal

2019

Predictive Analysis of the Impact of Corporate R&D Support Using Deep Learning
Pilseong Jang ,  You Jaeyoun ,  Seung Hwan Oh 한국기술혁신학회 학술대회 2019.05 Proceeding
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Abstract· Keywords

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We explored the possibility of developing a deep learning model that predicts the effects of enterprise support based on national R&D project information and company information. As a result of applying the deep learning model, it was found that the deep learning has a performance characteristic that can contribute to improve the accuracy of proper company selection. When the policy effect is divided into positive and negative, it has a prediction accuracy of 60% ~ 77% based on test data not used for learning. As a result of this study, the R&D beneficiary selection model based on the deep learning technique has high operability and application necessity
#중소기업 R& #D #기업지원효과 #선정평가 #예측모형 #딥러닝 #SME #R& #D support #selection model #prediction #deep learning

Contents

국문요약
ABSTRACT
Ⅰ. 서론
Ⅱ. 머신러닝 방법론과 사회과학 적용 사례
Ⅲ. 기업지원 효과 분석을 위한 딥러닝 모형 구축
Ⅳ. 결론 및 시사점
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