지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 798 - 803 (6page)
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초록· 키워드
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An artificial neural network model based on backpropagation algorithm for determining heating area’s positions from object shape of plate is presented in this paper. This model can help manufacturers determine the positions of induction heating areas and their heating parameters to form a desired shape of plate. The input data are vertical displacements of deformed plate and the output data are selected heating lines composed by the areas. The training patterns of neural network are obtained using an analytical solution that is derived from the plate theory to predict plate deformations in induction heating process. This method shows the feasibility that the neural network can be used to determine the heating-line positions in line heating process. A back-propagation neural network with one hidden layer was used to predict the line heating in shipyard. The system was trained and evaluated with analytical solutions, as well as several different forms of experimental results provided by several shipyard factories.
목차
Abstract
1. INTRODUCTION
2. INDUCTION HEATING DEFORMATION
3. FORMULATION OF DEFORMATION ININDUCTION LINE HEATING
4. MODEL OF NEURAL NETWORK IN INDUCTION HEATING
5. RESULTS AND DISCUSSIONS
6. CONCLUSIONS
ACKNOWLEDGEMENTS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000913589