Skip to main navigation Skip to main content
  • E-Submission

JKSPE : Journal of the Korean Society for Precision Engineering

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS
Article

2차원 학습 회귀적 신경망을 이용한 전기ㆍ유압 서보시스템의 실시간 추종

정봉호, 곽동훈, 이춘태, 이진걸

Real-time Approximation of a Hydraulic Servo System Using a Recurrent Neural Network with 2-D Learning Algorithm

Bong-Ho Jung, Dong-Hoon Kwak, Choon-Tae Lee, Jin-Kul Lee
JKSPE 2003;20(8):94-100.
Published online: August 1, 2003
  • 5 Views
  • 0 Download
  • 0 Crossref
  • 0 Scopus
prev next

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Real-time Approximation of a Hydraulic Servo System Using a Recurrent Neural Network with 2-D Learning Algorithm
J. Korean Soc. Precis. Eng.. 2003;20(8):94-100.   Published online August 1, 2003
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Real-time Approximation of a Hydraulic Servo System Using a Recurrent Neural Network with 2-D Learning Algorithm
J. Korean Soc. Precis. Eng.. 2003;20(8):94-100.   Published online August 1, 2003
Close