신경망을 이용한 판온예측모델내 공정상수 설정 방법

Title
신경망을 이용한 판온예측모델내 공정상수 설정 방법
Other Titles
A Computing Method of a Process Coefficient in Prediction Model of Plate Temperature using Neural Network
Author(s)
이해영김태은[김태은]
Keywords
Reheating Furnace Temperature; Radiation; Convection; Neural Network
Issue Date
201411
Publisher
한국조명.전기설비학회
Citation
조명.전기설비학회논문지, v.28, no.11, pp.51 - 57
Abstract
This paper presents an algorithmic type computing technique of process coefficient in predicting model of temperature for reheating furnace and also suggests a design method of neural network model to find an adequate value of process coefficient for arbitrary operating conditions including test conditons. The proposed neural network use furnace temperature, line speed and slab information as input variables, and process coefficient is output variable. Reasonable process coefficients can be obtained by an algorithmic procedure proposed in this paper using process data gathered at test conditons. Also, neural network model output equal process coefficient under same input conditions. This means that adquate process coefficients can be found by only computing neural network model without additive test even if operating conditions vary.
URI
http://hdl.handle.net/YU.REPOSITORY/30414
ISSN
1229-4691
Appears in Collections:
공과대학 > 전기공학과 > Articles
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