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Can I read Analysis of Catalytic Performance by Partial Differentiation of Neural Network Pattern on EtoBox?
Analysis of Catalytic Performance by Partial Differentiation of Neural Network Pattern by Shigeharu Kito; Tadashi Hattori is a Engineering article available to read on EtoBox.
What is Analysis of Catalytic Performance by Partial Differentiation of Neural Network Pattern about?
Numerical partial differentiation of trained neural network pattern was proposed as a tool for identification of primary factors controlling catalytic activity. The validity of the method was demonstrated by applying it to experimentally established correlations between catalytic activity and catalyst properties: the oxidations of butane and methane on lanthanide oxides were taken as examples, because good correlations had been established between catalytic activity and fourth ionization potential of lanthanide ion.
Who reads Analysis of Catalytic Performance by Partial Differentiation of Neural Network Pattern?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Shigeharu Kito; Tadashi Hattori
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0009-2509)
- Published
- 2007
- Language
- EN
- Field
- Engineering (Physical Sciences)