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Volumn 20, Issue 3, 2001, Pages 188-197

Improving Principal Component Analysis (PCA) in automotive body assembly using artificial neural networks

Author keywords

Artificial Neural Network; Automotive Body Assembly; Dimensional Measurements; Principal Component Analysis

Indexed keywords


EID: 0042907247     PISSN: 02786125     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0278-6125(01)80040-6     Document Type: Article
Times cited : (10)

References (11)
  • 4
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    • Hu, S. Jack and Wu, S.M. (1990). "Impact of 100% in-process measurement on statistical process (SPC) in automobile body assembly." ASME WAM (v44), pp433-448.
    • (1990) ASME WAM , vol.44 , pp. 433-448
    • Hu, S.J.1    Wu, S.M.2
  • 5
    • 0000493847 scopus 로고
    • Identifying sources of variation in automobile body assembly using principal component analysis
    • Hu, S. Jack and Wu, S.M. ( 1992). "Identifying sources of variation in automobile body assembly using principal component analysis." Trans. of NAMRI/SME (v20), pp311-316.
    • (1992) Trans. of NAMRI/SME , vol.20 , pp. 311-316
    • Hu, S.J.1    Wu, S.M.2
  • 6
    • 0032712869 scopus 로고    scopus 로고
    • Neural networks for seismic principal component analysis
    • Huang, K.Y. (1999). "Neural networks for seismic principal component analysis." IEEE Trans. on Geoscience and Remote Sensing (v37, n1), pp297-311.
    • (1999) IEEE Trans. on Geoscience and Remote Sensing , vol.37 , Issue.1 , pp. 297-311
    • Huang, K.Y.1
  • 7
    • 0030145792 scopus 로고    scopus 로고
    • A neural network approach for reduction of the dimensionality of slowly time-varying electromagnetic inverse problems
    • Morabito, F.C. and Coccorese, E. (1996). "A neural network approach for reduction of the dimensionality of slowly time-varying electromagnetic inverse problems." IEEE Trans. on Magnetics (v32, n3), pp1306-1309.
    • (1996) IEEE Trans. on Magnetics , vol.32 , Issue.3 , pp. 1306-1309
    • Morabito, F.C.1    Coccorese, E.2
  • 8
    • 0026954958 scopus 로고
    • Principal components, minor components, and linear neural networks
    • Oja, E. (1992). "Principal components, minor components, and linear neural networks." Neural Networks (v5), pp927-936.
    • (1992) Neural Networks , vol.5 , pp. 927-936
    • Oja, E.1
  • 9
    • 0027874463 scopus 로고
    • Computer aided identification of root causes of variation in automotive body assembly
    • Roan, C., Hu, S.J., and Wu, S.M. (1993). "Computer aided identification of root causes of variation in automotive body assembly." Journal of Mfg. Science and Engg. (v64), pp391-400.
    • (1993) Journal of Mfg. Science and Engg. , vol.64 , pp. 391-400
    • Roan, C.1    Hu, S.J.2    Wu, S.M.3
  • 10
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer feed-forward neural network
    • Sanger, T.D. ( 1989). "Optimal unsupervised learning in a single-layer feed-forward neural network." Neural Networks (v2), pp459-473.
    • (1989) Neural Networks , vol.2 , pp. 459-473
    • Sanger, T.D.1
  • 11
    • 0030288340 scopus 로고    scopus 로고
    • Improving automotive dimensional quality by using principal component analysis
    • Yang, K. (1996). "Improving automotive dimensional quality by using principal component analysis. Quality and Reliability Engg. Int'l (v12), pp401-409.
    • (1996) Quality and Reliability Engg. Int'l , vol.12 , pp. 401-409
    • Yang, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.