Number of the records: 1
Feedforward Neural Networks in Catalysis: A Tool for the Approximation of the Dependency of Yield on Catalyst Composition, and for Knowledge Extraction
- 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
