| 신경망 기법을 이용한 새로운 반응함수 추정 방법에 관한 연구 |
| 신상문2, 정우식3, 김철수4 |
1인제대학교 정보통신시스템학과
2동아대학교 산업경영공학과
3인제대학교 식품생명과학부
4인제대학교 컴퓨터공학부 |
| Study on a New Response Function Estimation Method Using Neural Network |
| Thanh-Tra Hoang1, Tuan-Ho Le2, Sangmun Shin2, Woo-Sik Jeong3, Chul-Soo Kim4 |
1Department of Systems Management Engineering, Inje University
2Department of Industrial & Management System Engineering, Dong-A University
3Department o f Food and Life Science, Inje University
4Department of Computer Science, Inje University |
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| ABSTRACT |
Purpose:
The main objective of this paper is to propose an RD method by developing a neural network (NN)-based estimation approach in order to provide an alternative aspect of response surface methodology (RSM).
Methods:
A specific modeling procedure for integrating NN principles into response function estimations is identified in order to estimate functional relationships between input factors and output responses. Finally, a comparative study based on simulation is performed as verification purposes.
Results:
This simulation study demonstrates that the proposed NN-based RD method provides better optimal solutions than RSM.
Conclusion:
The proposed NN-based RD approach can be a potential alternative method to utilize many RD problems in competitive manufacturing nowadays. |
| Key Words:
Robust Design;Neural Network;Response Surface Methodology;Ordinary Least Square;Estimation;Simulation; |
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