- Feedforward Neural Networks in Catalysis: A Tool for the Approximatio…
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Feedforward Neural Networks in Catalysis: A Tool for the Approximation of the Dependency of Yield on Catalyst Composition, and for Knowledge Extraction

  1. 1.
    0103296 - UIVT-O 20040037 RIV DE eng J - Journal Article
    Holeňa, Martin - Baerns, M.
    Feedforward Neural Networks in Catalysis: A Tool for the Approximation of the Dependency of Yield on Catalyst Composition, and for Knowledge Extraction.
    [Dopředné neuronové sítě v katalýze: nástroj pro aproximaci závislosti výtěžnosti na složení katalyzátorů, a pro extrakci znalostí.]
    Catalysis Today. Roč. 81, - (2003), s. 485-494. ISSN 0920-5861. E-ISSN 1873-4308
    Grant - others:BMBF(DE) FKZ 03C3013
    Institutional research plan: CEZ:AV0Z1030915
    Keywords : artificial neural networks * multilayer perceptron * dependency * approximation * network training * overtraining * knowledge extraction * logical rules * oxidative dehydrogenation of propane
    Subject RIV: BA - General Mathematics
    Impact factor: 2.627, year: 2003
    DOI: https://doi.org/10.1016/S0920-5861(03)00147-0
    Permanent Link: http://hdl.handle.net/11104/0010608
     
Number of the records: 1  

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