summary of article that I read
수강생 원문과 튜터 교정 (Before & After)
학생 제출 원문
I designed the neural network model which predict the cooling temperature CT [℃] in Hot Rolling Mill. For satisfying the target cooling temperature, I predict the cooling temperature which be used to control the amount of cooling water of laminar flow facility.
I gathered data from real Hot Rolling Mill for 1 month. I removed the outlier from data and analyzed the property of data. I divided data into train and test datasets. I designed the neural network model architecture and trained the model using python and tensorflow which is used for deep learning.
I gathered data from real Hot Rolling Mill for 1 month. I removed the outlier from data and analyzed the property of data. I divided data into train and test datasets. I designed the neural network model architecture and trained the model using python and tensorflow which is used for deep learning.
튜터 교정 답변
교정 내용이 클립보드에 복사되었습니다!