TY  - JOUR
AB  - This study presents an effective means of applying neural networks to achieve robust design with dynamic characteristic considerations. Two neural networks are constructed to train the data set in the Taguchi’s orthogonal array (OA): one to search for the optimal condition, and the other to forecast the system’s response value. A measuring system employed in semiconductor manufacturing demonstrates the proposed approach’s effectiveness. According to those results, the proposed approach outperforms the conventional Taguchi method. By using the proposed approach, the adjustment factors are not a prerequisite for the dynamic characteristic problem. Moreover, the proposed approach enhances the generalization capability.
VL  - 15
IS  - 5
SN  - 0265-671X
DO  - 10.1108/02656719810196243
UR  - https://doi.org/10.1108/02656719810196243
AU  - Su Chao‐Ton
AU  - Hsieh Kun‐Lin
PY  - 1998
Y1  - 1998/01/01
TI  - Applying neural network approach to achieve robust design for dynamic quality characteristics
T2  - International Journal of Quality & Reliability Management
PB  - MCB UP Ltd
SP  - 509
EP  - 519
Y2  - 2024/04/26
ER  -