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Volumn 11, Issue 6, 2011, Pages 988-995

Predict dynamic response of suspension arm based on artificial neural network technique

Author keywords

Aluminum alloy; Dynamic analysis; Redial basis function neural network; Suspension arm

Indexed keywords


EID: 79958838952     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2011.988.995     Document Type: Article
Times cited : (4)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.