0460704 - ÚI 2017 RIV CH eng C - Conference Paper (international conference)
Kůrková, VěraLower Bounds on Complexity of Shallow Perceptron Networks.
Engineering Applications of Neural Networks. Cham: Springer, 2016 - (Jayne, C.; Iliadis, L.), s. 283-294. Communications in Computer and Information Science, 629. ISBN 978-3-319-44187-0. ISSN 1865-0929.
[EANN 2016. International Conference /17./. Aberdeen (GB), 02.09.2016-05.09.2016]
R&D Projects: GA ČR GA15-18108S
Institutional support: RVO:67985807
Keywords : shallow feedforward networks * signum perceptrons * finite mappings * model complexity * Hadamard matrices
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0260719
