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62 Statistics
62Mxx Inference from stochastic processes (
1 articles
)
62M45 Neural nets and related approaches (9 articles)
Kalina, Jan
:
Exploring the impact of post-training rounding in regression models
.
(English).
Applications of Mathematics
,
vol. 69 (2024), issue 2
,
pp. 257-271
Baronas, Romas; Ivanauskas, Feliksas; Maslovskis, Romualdas; Radavičius, Marijus; Vaitkus, Pranas
:
Locally weighted neural networks for an analysis of the biosensor response
.
(English).
Kybernetika
,
vol. 43 (2007), issue 1
,
pp. 21-30
Grim, Jiří
:
Neuromorphic features of probabilistic neural networks
.
(English).
Kybernetika
,
vol. 43 (2007), issue 5
,
pp. 697-712
Révayová, Martina; Török, Csaba
:
Piecewise approximation and neural networks
.
(English).
Kybernetika
,
vol. 43 (2007), issue 4
,
pp. 547-559
Holeňa, Martin
:
Extraction of fuzzy logic rules from data by means of artificial neural networks
.
(English).
Kybernetika
,
vol. 41 (2005), issue 3
,
pp. [297]-314
Andrejková, Gabriela; Levický, Miroslav
:
Neural networks using Bayesian training
.
(English).
Kybernetika
,
vol. 39 (2003), issue 5
,
pp. [511]-520
Allende, Héctor; Moraga, Claudio; Salas, Rodrigo
:
Artificial neural networks in time series forecasting: a comparative analysis
.
(English).
Kybernetika
,
vol. 38 (2002), issue 6
,
pp. [685]-707
Vajda, Igor; Grim, Jiří
:
About the maximum information and maximum likelihood principles
.
(English).
Kybernetika
,
vol. 34 (1998), issue 4
,
pp. [485]-494
Vajda, Igor; Lonek, Belomír; Nikolov, Viktor; Veselý, Arnošt
:
Neural network realizations of Bayes decision rules for exponentially distributed data
.
(English).
Kybernetika
,
vol. 34 (1998), issue 5
,
pp. [497]-514
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