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타이어 성능예측을 위한 신경망과 직교배열표의 적용에 관한 연구
김성래(Seongrae Kim),성기득(Kidug Sung),김종규(Jongkyu Kim),조춘택(Choontack Cho) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Tire is complicated structure which should satisfy with durability, handling, wear, ride and etc. But, most of tire optimum design theories can not satisfy with all of these performances simultaneously, and make optimum design with only two or three items out of performances listed above. After initial concept design to satisfy some of desired objective performances, designers should modify initial concept design to improve other performances. So, it is necessary to monitor initial performance as modifying initial design variables. In this paper, to monitor tire performances, we report performance estimation tools applied artificial neural networks using learning data from orthogonal array.