Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (조명전기설비학회논문지)

The Korean Institute of IIIuminating and Electrical Installation Engineers (한국조명전기설비학회)
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A Neural Net Type Process Model for Enhancing Learning Compensation Function in Hot Strip Finishing Rolling Mill

열연 마무리 압연기에서 압연속도 학습보상기능개선을 위한 신경망형 공정 모델

  • 홍성철 (영남대학교 전기공학과) ;
  • 이해영 (영남대학교 전기공학과)
  • Received : 2013.03.02
  • Accepted : 2013.04.14
  • Published : 2013.06.30
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Abstract

This paper presents a neural net type process model for enhancing learning compensation function in hot strip finishing rolling mill. Adequate input and output variables of process model are chosen, the proposed model was designed as single layer neural net. Equivalent carbon content, strip thickness and rolling speed are suggested as input variables, and looper's manipulation variable is proposed as output variable. According to simulation result using process data to show the validity of the proposed process model, neural net type process model's outputs give almost similar data to process output under same input conditions.

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References

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