메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

A study on improvement of Machine Learning Performance for Prediction of the Ultimate Bearing Capacity in Steel Pile
Recommendations
Search
Questions

강말뚝 극한지지력 추정을 위한 머신러닝 성능 향상 연구

논문 기본 정보

Type
Proceeding
Author
Han, Jae-Hyeok (충북대학교) Jung, Jong Won (충북대학교)
Journal
KOREAN SOCIETY OF CIVIL ENGINEERS 대한토목학회 학술대회 KSCE 2020 CONVENTION
Published
2020.10
Pages
843 - 844 (2page)

Usage

cover
A study on improvement of Machine Learning Performance for Prediction of the Ultimate Bearing Capacity in Steel Pile
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
No content found
#말뚝 기초 #극한지지력 #머신러닝 #인공신경망 #가우스 과정 회귀 #입력변수 #RMSE

Contents

No content found

References (0)

Add References
If the reference is being serviced by DBpia, please register through [Add Reference]

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Recently viewed articles

The Effects on 〈Thinking and Expressions〉 in a University Program Using a Moot
Kim, Young-HakThe Society of Convergence of Humanities, Social Science and Arts2016.10
 Oral administration of the Herbal Medicines in animal models for treatment of Allergic Rhinitis: a Review of Animal Study Reports Published in Korea
조형래, 황보민2016
 Trends of Mind Education for Rearing ‘Ecological’ Human Beings
Yun, Ji-Won, Baek 외 1명The Research Institute of Won-buddhist Thought2015.06

Comments(0)

0

Write first comments.