서지주요정보
회귀 신경 회로망과 EP를 이용한 포철 열연 권취 온도 제어 프로세스의 모델링 = Modeling temperature control process of hot coil strip in the POSCO using recurrent neural networks and evolutionary programming
서명 / 저자 회귀 신경 회로망과 EP를 이용한 포철 열연 권취 온도 제어 프로세스의 모델링 = Modeling temperature control process of hot coil strip in the POSCO using recurrent neural networks and evolutionary programming / 조진만.
저자명 조진만 ; Cho, Jin-Man
발행사항 [대전 : 한국과학기술원, 1999].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8009792

소장위치/청구기호

학술문화관(문화관) 보존서고

MEE 99108

SMS전송

도서상태

이용가능

대출가능

반납예정일

초록정보

This paper is about a project performed with Hot Rolling Dep. Of POSCO (Pohang Iron & Steel Co.) to enhance the quality of hot coil products. The quality of hot coil strip depends highly on the accuracy of coiling temperature control. Coiling temperature is the temperature of a hot iron coil strip just before it is rolled. Water is sprayed and cools down the hot coil and the control system manipulates the amount of sprayed water to control coiling temperature. To calculate the amount of water needed to get a specific coiling temperature, control system uses a mathematical model of the cooling process. This mathematical model has not been changed since it was made and as the system gets older it does not act as an accurate model of the system. A new model using recurrent neural networks and EP(Evolutionary Programming) learning algorithm is suggested in this paper to substitute the original mathematical model. Real data from past work experiences are used to train this recurrent neural networks and other real test data are used to check the validity of the new model.

서지기타정보

서지기타정보
청구기호 {MEE 99108
형태사항 vi, 45 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Jin-Man Cho
지도교수의 한글표기 : 박철훈
지도교수의 영문표기 : Cheol-Hoon Park
학위논문 학위논문(석사) - 한국과학기술원 : 전기및전자공학과,
서지주기 참고문헌 : p. 44-45
주제 회귀 신경 회로망
진화 프로그래밍
열연 코일
Recurrent neural networks
Evolutionary programming
Hot coil strip
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