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Wyszukujesz frazę "Least Squares method" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
The UD RLS Algorithm for Training Feedforward Neural Networks
Autorzy:
Bilski, J.
Powiązania:
https://bibliotekanauki.pl/articles/908480.pdf
Data publikacji:
2005
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sieć neuronowa
algorytm uczenia
metoda najmniejszych kwadratów
neural networks
learning algorithms
recursive least squares method
UD factorization
Opis:
A new algorithm for training feedforward multilayer neural networks is proposed. It is based on recursive least squares procedures and U-D factorization, which is a well-known technique in filter theory. It will be shown that due to the U-D factorization method, our algorithm requires fewer computations than the classical RLS applied to feedforward multilayer neural network training.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2005, 15, 1; 115-123
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Various response functions in lattice domes reliability via analytical integration and finite element method
Autorzy:
Pokusiński, B.
Kamiński, M.
Powiązania:
https://bibliotekanauki.pl/articles/265441.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
konstrukcja kratowa
analiza niezawodności
metoda najmniejszych kwadratów
response function method
semi-analytical probabilistic technique
lattice dome structures
reliability analysis
weighted least squares method
Opis:
The main aim of this work is to verify an influence of the response function type in direct symbolic derivation of the probabilistic moments and coefficients of the structural state variables of axisymmetric spherical steel dome structures. The second purpose is to compare four various types of domes (ribbed, Schwedler, geodesic as well as diamatic) in the context of time-independent reliability assessment in the presence of an uncertainty in the structural steel Young modulus. We have considered various analytical response functions to approximate fundamental eigenfrequencies, critical load multiplier, global extreme vertical and horizontal displacements as well as local deformations. Particular values of the reliability indices calculated here can be of further assistance in the reliability assessment by comparing the minimal one with its counterpart given in the Eurocode depending upon the durability class, reference period and the given limit state type.
Źródło:
International Journal of Applied Mechanics and Engineering; 2018, 23, 2; 445-469
1734-4492
2353-9003
Pojawia się w:
International Journal of Applied Mechanics and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The least squares stochastic finite element method in structural stability analysis of steel skeletal structures
Autorzy:
Kamiński, M.
Szafran, J.
Powiązania:
https://bibliotekanauki.pl/articles/265364.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
weighted least squares method
stochastic finite element method
generalized stochastic perturbation technique
stability problems
steel skeletal structures
technika zaburzeń
konstrukcja szkieletowa
analiza stabilności
Opis:
The main purpose of this work is to verify the influence of the weighting procedure in the Least Squares Method on the probabilistic moments resulting from the stability analysis of steel skeletal structures. We discuss this issue also in the context of the geometrical nonlinearity appearing in the Stochastic Finite Element Metod equations for the stability analysis and preservation of the Gaussian probability density function employed to model the Young modulus of a structural steel in this problem. The weighting procedure itself (with both triangular and Dirac-type) shows rather marginal influence on all probabilistic coefficients under consideration. This hybrid stochastic computational technique consisting of the FEM and computer algebra systems (ROBOT and MAPLE packages) may be used for analogous nonlinear analyses in structural reliability assessment.
Źródło:
International Journal of Applied Mechanics and Engineering; 2015, 20, 2; 299-318
1734-4492
2353-9003
Pojawia się w:
International Journal of Applied Mechanics and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The role of parameter constraints in EE and OE methods for optimal identification of continuous LTI models
Autorzy:
Byrski, W.
Byrski, J.
Powiązania:
https://bibliotekanauki.pl/articles/331405.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
system ciągły
funkcja przenoszenia
metoda najmniejszych kwadratów
continuous systems
parameter constraints in identification
modulating functions
transfer function normalization
least squares method
Opis:
The paper presents two methods used for the identification of Continuous-time Linear Time Invariant (CLTI) systems. In both methods the idea of using modulating functions and a convolution filter is exploited. It enables the proper transformation of a differential equation to an algebraic equation with the same parameters. Possible different normalizations of the model are strictly connected with different parameter constraints which have to be assumed for the nontrivial solution of the optimal identification problem. Different parameter constraints result in different quality of identification. A thorough discussion on the role of parameter constraints in the optimality of system identification is included. For time continuous systems, the Equation Error Method (EEM) is compared with the continuous version of the Output Error Method (OEM), which appears as a special sub-case of the EEM.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 2; 379-388
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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