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Comparison of performance of the bushing model according to the neural network structure
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신경망 구성에 따른 신경망 부싱모델의 성능비교

논문 기본 정보

Type
Proceeding
Author
Seung-Kyu Lee (부경대학교) Jeong-Hyun Sohn (부경대학교)
Journal
The Korean Society of Mechanical Engineers 대한기계학회 춘추학술대회 대한기계학회 2006년도 부산지부 추계학술대회 논문집
Published
2006.10
Pages
158 - 163 (6page)

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Comparison of performance of the bushing model according to the neural network structure
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Research history (3)

2007

Optimization of Neural Network Structure for the Efficient Bushing Model
Seungkyu Lee ,  Kwangsuk Kim ,  Jeonghyun Sohn Transaction of the Korean Society of Automotive Engineers 2007.09 Academic journal

2006

Comparison of performance of the bushing model according to the neural network structure
Seung-Kyu Lee ,  Jeong-Hyun Sohn 대한기계학회 춘추학술대회 2006.10 Proceeding
Comparison of performance of the bushing model according to the neural network structure
Seung-Kyu Lee ,  Jeong-Hyun Sohn 대한기계학회 춘추학술대회 2006.04 Proceeding
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Abstract· Keywords

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A bushing component of a vehicle suspension system is tested to capture the nonlinear behavior of rubber bushing element by using the MTS 3-axes rubber test machine. The results of the tests are used to model the artificial neural network bushing model. The performances from the neural network model usually are dependent on the structure of the neural network. In this paper, Performance according to the neural network structure are compared.
#Artificial neural network(인공신경망) #Hysteresis response(히스테리시스 응답) #Neural network structure(신경망 구조) #Bushing(부싱)

Contents

Abstract
1. 서론
2. 부싱특성시험
3. 신경망 부싱모델
4. 신경망 구성에 따른 신경망성능
5. ADAMS와의 인터페이스
5. 결론
참고문헌

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