Feedforward neural networks in catalysis: A tool for the approximation of the dependency of yield on catalyst composition, and for knowledge extraction

Catalysis Today

Volumn 81, Issue 3, 2003, Pages 485-494

  Holeňa, Martin ^a   Baerns, Manfred ^a  

^a LEIBNIZ INSTITUT FÜR KATALYSE E V AN DER UNIVERSITÄT ROSTOCK   (Germany)

Author keywords

Approximation; Artificial neural networks; Dependency; Knowledge extraction; Logical rules; Multilayer perceptron; Network training; Overtraining; Oxidative dehydrogenation of propane

Indexed keywords

APPROXIMATION THEORY; CATALYST ACTIVITY; COMPOSITION; DEHYDROGENATION; DISTRIBUTED COMPUTER SYSTEMS; NEURAL NETWORKS; OXIDATION; PROBLEM SOLVING;

KNOWLEDGE EXTRACTION;

CATALYSIS;

EID: 0038487623     PISSN: 09205861     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0920-5861(03)00147-0     Document Type: Conference Paper

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