Representations and Rates of Approximation of Real-Valued Boolean Functions by Neural Networks

0403242 - UIVT-O 980018 RIV US eng J - Článek v odborném periodiku
Kůrková, Věra - Savický, Petr - Hlaváčková, Kateřina
Representations and Rates of Approximation of Real-Valued Boolean Functions by Neural Networks.
Neural Networks. Roč. 11, č. 4 (1998), s. 651-659. ISSN 0893-6080. E-ISSN 1879-2782
Grant CEP: GA AV ČR IAA2030602; GA AV ČR IAA2075606; GA ČR GA201/95/0976
Klíčová slova: real-valued Boolean function * percepron network * rate of approximation * variation with respect to half-spaces * decision tree * Hadamard communication matrix
Kód oboru RIV: BA - Obecná matematika
Impakt faktor: 1.017, rok: 1998
Trvalý link: http://hdl.handle.net/11104/0123562