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Volumn 45, Issue 24, 2006, Pages 8223-8224

Comment on "design of a propane ammoxidation catalyst using artificial neural networks and genetic algorithms"

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EID: 33845340487     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0611251     Document Type: Note
Times cited : (3)

References (7)
  • 1
    • 0034747286 scopus 로고    scopus 로고
    • Design of a propane ammoxidalion catalyst using artificial neural networks and genetic algorithms
    • Cundari, T. R.; Deng, J.; Zhao, Y. Design of a Propane Ammoxidalion Catalyst Using Artificial Neural Networks and Genetic Algorithms. Ind. Eng. Chem. Res. 2001, 40, 5475-5480.
    • (2001) Ind. Eng. Chem. Res. , vol.40 , pp. 5475-5480
    • Cundari, T.R.1    Deng, J.2    Zhao, Y.3
  • 2
    • 33750350191 scopus 로고    scopus 로고
    • Artificial neural network application to the friction stir welding of aluminum plates
    • doi: 10.1016/j.matdes.2005.06.003
    • Okuyucu, H.; Kurt, A.; Arcaklioglu, E. Artificial Neural Network Application to the Friction Stir Welding of Aluminum Plates. Mater. Des., in press (doi: 10.1016/j.matdes.2005.06.003.).
    • Mater. Des., in Press
    • Okuyucu, H.1    Kurt, A.2    Arcaklioglu, E.3
  • 5
    • 1942498767 scopus 로고    scopus 로고
    • Comment on "modeling of tribological properties of alumina fiber reinforced zinc-aluminum composites using artificial neural network" by Genel, K. et al. [Mater. Sci. Eng., A 2003, 363, 203]
    • Sha, W. Comment on "Modeling of Tribological Properties of Alumina Fiber Reinforced Zinc-Aluminum Composites Using Artificial Neural Network" by Genel, K. et al. [Mater. Sci. Eng., A 2003, 363, 203]. Mater. Sci. Eng., A 2004, 372, 334-335.
    • (2004) Mater. Sci. Eng., A , vol.372 , pp. 334-335
    • Sha, W.1
  • 6
    • 30144433338 scopus 로고    scopus 로고
    • Comment on "prediction of the flow stress of 0.4C-1.9Cr-1.5Mn-1.0Ni- 0.2Mo steel during hot deformation" by Wu, R. H. et al. [J. Mater. Process. Technol 2001, 116, 211]
    • Sha, W. Comment on "Prediction of the Flow Stress of 0.4C-1.9Cr-1.5Mn-1.0Ni-0.2Mo Steel during Hot Deformation" by Wu, R. H. et al. [J. Mater. Process. Technol 2001, 116, 211]. J. Mater. Process. Technol. 2006, 171, 283-284.
    • (2006) J. Mater. Process. Technol. , vol.171 , pp. 283-284
    • Sha, W.1
  • 7
    • 0026840095 scopus 로고
    • Estimation of the acid strength of mixed oxides by a neural network
    • Kito, S.; Hattori, T.; Murakami, Y. Estimation of the Acid Strength of Mixed Oxides by a Neural Network. Ind. Eng. Chem. Res. 1992, 31, 979-981.
    • (1992) Ind. Eng. Chem. Res. , vol.31 , pp. 979-981
    • Kito, S.1    Hattori, T.2    Murakami, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.