Analysis of catalytic performance by partial differentiation of neural network pattern

Chemical Engineering Science

Volumn 62, Issue 18-20, 2007, Pages 5575-5578

  Kito, Shigeharu ^a   Hattori, Tadashi ^a  

^a AICHI INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Butane; Catalytic oxidation; Controlling factor; Lanthanide oxide; Methane; Neural network; Numerical partial differentiation

Indexed keywords

CONTROLLING FACTOR; LANTHANIDE OXIDES; NUMERICAL PARTIAL DIFFERENTIATION;

BUTANE; CATALYST ACTIVITY; CATALYTIC OXIDATION; IONIZATION POTENTIAL; METHANE; PARTIAL DIFFERENTIAL EQUATIONS; RARE EARTH ELEMENTS;

NEURAL NETWORKS;

BUTANE; CATALYST ACTIVITY; CATALYTIC OXIDATION; IONIZATION POTENTIAL; METHANE; NEURAL NETWORKS; PARTIAL DIFFERENTIAL EQUATIONS; RARE EARTH ELEMENTS;

EID: 34547941416     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2007.01.038     Document Type: Article

References (7)

1. Hattori, T., Kito, S., 1998. Proceedings of the 15th World Petroleum Congress. Wiley, New York, p. 783.
2. Hattori T., and Kito S. Catalysis Today 111 (2006) 328
3. Hattori T., Inoko J., and Murakami Y. Journal of Catalysis 42 (1976) 60
4. Holena M., and Baerns M. Catalysis Today 81 (2003) 485
5. Lu M., AbouRizk S.M., and Hermann U.H. Journal of Computing in Civil Engineering 15 (2001) 299
6. Mori, M., Hattori, T., Murakami, Y. Unpublished data.
7. Reed R.D., and Marks II R.J. Neural Smithing (1999), MIT Press, Cambridge, MA