Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alexander I. Galushkin"'
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783319393773
ICAISC (1)
ICAISC (1)
An activation function is a very important part of an artificial neuron model. Multilayer neural networks can properly work only when these functions are nonlinear. A simple approximation of an often applied hyperbolic tangent activation function is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd6a4220cce61db82324c7be08aec364
https://doi.org/10.1007/978-3-319-39378-0_4
https://doi.org/10.1007/978-3-319-39378-0_4
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783319393834
ICAISC (2)
ICAISC (2)
The purpose of nonlinear correction modelling of dynamic object is to use an approximated linear model of an object and determine corrections of this model in an appropriate way, taking into account the specificity of modelled nonlinearity. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d94114f4497c9662439002483087c63
https://doi.org/10.1007/978-3-319-39384-1_22
https://doi.org/10.1007/978-3-319-39384-1_22
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783319193236
ICAISC (1)
ICAISC (1)
In this paper a new approach for construction of neuro-fuzzy systems for nonlinear classification is introduced. In particular, we concentrate on the flexible neuro-fuzzy systems which allow us to extend notation of rules with weights of fuzzy sets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3811266aec9c9861cbe5feb8d402ad3
https://doi.org/10.1007/978-3-319-19324-3_41
https://doi.org/10.1007/978-3-319-19324-3_41
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783319071725
ICAISC (1)
ICAISC (1)
This paper presents the parallel architecture of the conjugate gradient learning algorithm for the feedforward neural networks. The proposed solution is based on the high parallel structures to speed up learning performance. Detailed parallel neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a99eec84fac275a8a414c3801824e6c
https://doi.org/10.1007/978-3-319-07173-2_2
https://doi.org/10.1007/978-3-319-07173-2_2
Publikováno v:
Neural Information Processing ISBN: 9783540239314
ICONIP
ICONIP
High level loads in the acoustic frequency range are the reason for the aviation constructions’ elements fatigue destruction and death of the airborne equipment. Acoustic loads have most influence on the thin-walled elements of the aircraft constru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9475b7145c6114d48b8ad2ddff1bb473
https://doi.org/10.1007/978-3-540-30499-9_199
https://doi.org/10.1007/978-3-540-30499-9_199
Autor:
Alexander I. Galushkin
'Neural Networks Theory is a major contribution to the neural networks literature. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide who have not previously had access to the fruits of Soviet and