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Tytuł:
The identification of the boundary geometry with corner points in inverse two-dimensional potential problems
Autorzy:
Zieniuk, E.
Gabrel, W.
Powiązania:
https://bibliotekanauki.pl/articles/1931586.pdf
Data publikacji:
2002
Wydawca:
Politechnika Gdańska
Tematy:
inverse boundary value problem
boundary geometry identification
geometry
parametric integral equation system
finite element method
boundary element method
evolution algorithm
genetic algorithms
Opis:
The paper presents fragment of a larger study concerning the effective methods of solving the inverse boundary value problems. The boundary value problem described here is formulated as a problem of the identification of a boundary geometry with corner points. A method using a parametric integral equations system (PIES) is proposed. PIES used in the method makes the easy modelling of the geometry with corner points possible. This effect is obtained by the application of modified splines. An evolution algorithm is used for the effective control of modifications of the boundary geometry. Some experimental tests of the efficiency of the discussed method were performed for two-dimensional inverse potential problems.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2002, 6, 4; 651-660
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimum design of fiber angle and hole orientation of an orthotropic plate
Autorzy:
Zhang, X.
Lu, A.
Wang, S.
Zhang, N.
Powiązania:
https://bibliotekanauki.pl/articles/280011.pdf
Data publikacji:
2018
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
orthotropic plate
fiber orientation angle
hole orientation angle
conformal transformation method
differential evolution algorithm
Opis:
With the goal of decreasing the stress concentration along the hole boundary in an orthotropic plate under inequi-biaxial loadings, an optimum design of the fiber angle and hole orientation is presented. The maximum absolute tangential stress along the hole boundary is taken as the objective function, and the fiber orientation angle and the hole orientation angle are considered as design variables. The conformal transformation method of a complex function and the Differential Evolution (DE) algorithm are used. Two non-circular shapes, ellipse and hexagon are taken as examples to analyze the problem. Based on the results, we can conclude that the major axis of elliptical holes should be designed in the direction of the maximum external loading for a perforated structure in an orthotropic plate. However, the principal direction that has the larger Young’s modulus should be inclined to the direction of the minimum loading, especially for a significantly orthotropic plate.
Źródło:
Journal of Theoretical and Applied Mechanics; 2018, 56, 1; 297-311
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control Strategy of Parallel Systems with Efficiency Optimisation in Switched Reluctance Generators
Autorzy:
Zan, Xiaoshu
Lin, Hang
Xu, Guanqun
Zhao, Tiejun
Gong, Yi
Powiązania:
https://bibliotekanauki.pl/articles/1956008.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
switched reluctance generator
parallel system
efficiency optimization
differential evolution algorithm
Opis:
To solve motor heating and life shortening of parallel switched reluctance generator (SRG) induced by uneven output currents due to different external characteristics, we generally adopt current sharing control (CSC) to make each parallel generator undertake large load currents on average to improve the reliability of parallel power generation system. However, the method usually causes additional loss of power because it does not consider the efficiency characteristics of each parallel generator. Therefore, with the efficiency expression for the parallel system of SRG established and analysed, the control strategy based on differential evolution (DE) algorithm is proposed as a mechanism by which to enhance generating capacity and reliability of multi-machine power generation from the perspective of efficiency optimisation. We re-adjust the reference current of each parallel generator to transform the working point of each generator and implement the efficiency optimisation of parallel system. The performance of the proposed control method is evaluated in detail by the simulation and experiment, and comparison with traditional CSC is carried out as well.
Źródło:
Power Electronics and Drives; 2021, 6, 41; 61-74
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Analytical Study for the Role of Fuzzy Logic in Improving Metaheuristic Optimization Algorithms
Autorzy:
Vij, Sonakshi
Jain, Amita
Tayal, Devendra
Castillo, Oscar
Powiązania:
https://bibliotekanauki.pl/articles/385121.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
fuzzy logic
metaheuristics
evolutionary computing
genetic algorithm
particle swarm optimization (PSO)
ant colony optimization
fuzzy evolutionary algorithm
fuzzy cuckoo
fuzzy simulated annealing
fuzzy swarm intelligence
fuzzy differential evolution
tabu
fuzzy mutation
fuzzy natural selection
fuzzy fitness function
big bang big crunch
fuzzy bacterial
neuro fuzzy logic
logika rozmyta
metaheurystyka
obliczenia ewolucyjne
algorytm genetyczny
optymalizacja roju cząstek
optymalizacja kolonii mrówek
Opis:
The research applications of fuzzy logic have always been multidisciplinary in nature due to its ability in handling vagueness and imprecision. This paper presents an analytical study in the role of fuzzy logic in the area of metaheuristics using Web of Science (WoS) as the data source. In this case, 178 research papers are extracted from it in the time span of 1989-2016. This paper analyzes various aspects of a research publication in a scientometric manner. The top cited research papers, country wise contribution, topmost organizations, top research areas, top source titles, control terms and WoS categories are analyzed. Also, the top 3 fuzzy evolutionary algorithms are extracted and their top research papers are mentioned along with their topmost research domain. Since neuro fuzzy logic poses feasible options for solving numerous research problems, hence a section is also included by the authors to present an analytical study regarding research in it. Overall, this study helps in evaluating the recent research patterns in the field of fuzzy metaheuristics along with envisioning the future trends for the same. While on one hand this helps in providing a new path to the researchers who are beginners in this field as they can start exploring it through the analysis mentioned here, on the other hand it provides an insight to professional researchers too who can dig a little deeper in this field using knowledge from this study.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 4; 11-27
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Image reconstruction with the use of evolutionary algorithms and cellular automata
Autorzy:
Seredyński, F.
Skaruz, J.
Piraszewski, A.
Powiązania:
https://bibliotekanauki.pl/articles/106216.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
image reconstruction
evolution algorithms
cellular automata
genetic algorithm
Opis:
In the paper we present a new approach to the image reconstruction problem based on evolution algorithms and cellular automata. Two-dimensional, nine state cellular automata with the Moore neighbourhood perform reconstruction of an image presenting a human face. Large space of automata rules is searched through efficiently by the genetic algorithm (GA), which finds a good quality rule. The experimental results show that the obtained rule allows to reconstruct an image with even 70% damaged pixels. Moreover, we show that the rule found in the genetic evolution process can be applied to the reconstruction of images of the same class but not presented during the evolutionary one.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2012, 12, 4; 39-49
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent hybrid fuzzy logic system for damage detection of beam-like structural elements
Autorzy:
Sahu, S.
Kumar, P. B.
Parhi, D. R.
Powiązania:
https://bibliotekanauki.pl/articles/281457.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
fuzzy logic
differential evolution algorithm
crack
natural frequency
Opis:
Fuzzy logic has been used in different research fields for more than three decades. It has become a robust method to solve complex and intricate problems which are otherwise difficult to solve by traditional methods. But it still requires some human experience and knowledge. In the present study, an attempt is made to design a hybrid optimization technique for automatic formation of the fuzzy knowledge based rules using an evolutionary algorithm. This hybridization technique has been applied in the field of damage detection and location of cracks in cracked structural elements. In this paper, a robust fault diagnostic tool based on a differential evolution algorithm and fuzzy logic has been proposed. Theoretical and Finite Element analyzes are done to model the crack and to find the effect of the presence of cracks on changes of vibrational characteristic (natural frequencies) of a fixed-fixed beam. The inputs to DEA-FL system are the first three relative natural frequencies, and the outputs from the system are the relative crack depth and relative crack location. For the validation of the results obtained from the proposed method and to check the robustness of the controller, experimental analysis is performed. To find average error rates, the bootstrap method has been adopted.
Źródło:
Journal of Theoretical and Applied Mechanics; 2017, 55, 2; 509-521
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
O programie badawczym teorii inteligentnego projektu
On the Research Program of Intelligent Design Theory
Autorzy:
Sagan, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/553210.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Zielonogórski. Instytut Filozofii
Tematy:
nieredukowalna złożoność
wyspecyfikowana złożoność
informacja
Biologic Institute
oznaki projektu
ograniczenia ewolucji
„śmieciowy” DNA
algorytm genetyczny
steganografia
irreducible complexity
specified complexity
information
signs of design
limits of evolution
„junk” DNA
genetic algorithm
steganography
Opis:
Zgodnie z teorią inteligentnego projektu pewne zjawiska biologiczne i kosmiczne zostały zaprojektowane przez istotę inteligentną, która równie dobrze może być naturalna, jak nadnaturalna, a projekt ten jest wykrywalny naukowo. Krytycy wysuwają jednak zarzut, że o nienaukowym charakterze tej teorii świadczy fakt, iż nie jest ona użyteczna dla nauki, gdyż nie inspiruje nowych badań naukowych, hamując postęp nauki. Brak programu badawczego lub niedostatek realizowanych projektów badawczych dostrzegają nawet zwolennicy tej teorii, artykuł przedstawia jednak pewne możliwe w ramach teorii inteligentnego projektu badania. Chociaż z perspektywy metodologicznej opracowanie programu badawczego przez teoretyków projektu nie jest niezbędne, to realnie patrząc, ewentualny naukowy sukces teorii inteligentnego projektu zależy w dużej mierze od tego, czy zwolennicy tego ujęcia przekonają naukowców, że w jego ramach będą mogli coś robić, że może być ono dobrym, płodnym przewodnikiem badań, i dlatego wymaga od teoretyków projektu większego zaangażowania w wysiłek tworzenia i aktywnej realizacji programu badawczego niż można to było dotychczas zaobserwować z ich strony.
According to intelligent design theory, certain biological and cosmic phenomena were designed by an intelligent being that could just as well be natural as supernatural, and this design is scientifically detectable. However, critics pose an objection that unscientific character of this theory is discernible in that it is not useful for science because it does not inspire new scientific research and thus it is stopping the progress of science. The lack of research program or scarcity of carried out research projects is recognized also by the proponents of that theory, but the article presents some possible research which intelligent design theory may inspire. Although the development of research program by design theorists is not necessary from the methodological perspective, in practice the potential scientific success of intelligent design theory depends largely on whether the proponents of this approach would convince scientists that thanks to it they can do something, that it could be a good, fruitful research guide, and thus demands more commitment of design theorists to the effort of forming and actively accomplishing a research program than it could have been observed so far.
Źródło:
Filozoficzne Aspekty Genezy; 2013, 10; 73-108
2299-0356
Pojawia się w:
Filozoficzne Aspekty Genezy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Novel optimization method for mobile magnetostatic shield and test applications
Autorzy:
Ralf, Patrick Alexander
Kreischer, Christian
Powiązania:
https://bibliotekanauki.pl/articles/2135737.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
differential evolution
evolutionary algorithm
magnetostatic passive shielding
mobile application
optimization
spherical shells
Opis:
This article provides an optimized solution to the problem of passive shielding against static magnetic fields with any number of spherical shells. It is known, that the shielding factor of a layered structure increases in contrast to a single shell with the same overall thickness. For the reduction of weight and cost by given material parameters and available space the best system for the layer positions has to be found. Because classic magnetically shielded rooms are very heavy, this system will be used to develop a transportable Zero-Gauss-Chamber. To handle this problem, a new way was developed, in which for the first time the solution with regard to shielding and weight was optimized. Therefore, a solution for the most general case of spherical shells was chosen with an adapted boundary condition. This solution was expanded to an arbitrary number of layers and permeabilities. With this analytic solution a differential evolution algorithm is able to find the best partition of the shells. These optimized solutions are verified by numerical solutions made by the Finite Element Method (FEM). After that the solutions of different raw data are determined and investigated.
Źródło:
Archives of Electrical Engineering; 2022, 71, 3; 627--639
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quasi-hierarchical evolution algorithm for flow assignment in survivable connection-oriented networks
Autorzy:
Przewoźniczek, M.
Walkowiak, K.
Powiązania:
https://bibliotekanauki.pl/articles/908380.pdf
Data publikacji:
2006
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
algorytm ewolucyjny
optymalizacja
sieć komputerowa
evolution algorithm
optimization
connection-oriented networks
Opis:
The main objective of this paper is to develop an effective evolutionary algorithm (EA) for the path-assignment problem in survivable connection-oriented networks. We assume a single-link failure scenario, which is the most common and frequently reported failure event. Since the network flow is modeled as a non-bifurcated multicommodity flow, the discussed optimization problem is NP-complete. Thus, we develop an effective heuristic algorithm based on an evolutionary algorithm. The main novelty of this work is that the proposed evolutionary algorithm consists of two levels. The “high” level applies typical EA operators. The “low” level is based on the idea of a hierarchical algorithm. However, the presented approach is not a classical hierarchical algorithm. Therefore, we call the algorithm quasi-hierarchical. We present its description and the results of simulation runs over various networks.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2006, 16, 4; 487-502
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy ranking based non-dominated sorting genetic algorithm-II for network overload alleviation
Autorzy:
Pandiarajan, K.
Babulal, C. K.
Powiązania:
https://bibliotekanauki.pl/articles/141059.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
non-dominated sorting genetic algorithm
generation rescheduling
particle swarm optimization (PSO)
differential evolution
overload index
Opis:
This paper presents an effective method of network overload management in power systems. The three competing objectives 1) generation cost 2) transmission line overload and 3) real power loss are optimized to provide pareto-optimal solutions. A fuzzy ranking based non-dominated sorting genetic algorithm-II (NSGA-II) is used to solve this complex nonlinear optimization problem. The minimization of competing objectives is done by generation rescheduling. Fuzzy ranking method is employed to extract the best compromise solution out of the available non-dominated solutions depending upon its highest rank. N-1 contingency analysis is carried out to identify the most severe lines and those lines are selected for outage. The effectiveness of the proposed approach is demonstrated for different contingency cases in IEEE 30 and IEEE 118 bus systems with smooth cost functions and their results are compared with other single objective evolutionary algorithms like Particle swarm optimization (PSO) and Differential evolution (DE). Simulation results show the effectiveness of the proposed approach to generate well distributed pareto-optimal non-dominated solutions of multi-objective problem
Źródło:
Archives of Electrical Engineering; 2014, 63, 3; 367-384
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization the dynamical parameters of three phase induction motor using genetic algorithm
Autorzy:
Mohammed, M.H.
Powiązania:
https://bibliotekanauki.pl/articles/376222.pdf
Data publikacji:
2012
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
induction motor
genetic algorithm
differential evolution
DE
Opis:
This paper deals with the optimization of the induction motor design with respect to torque as a dynamical parameter. Most studies on the design of an induction motor using optimization techniques are concerned with the minimization of the motor cost and describe the optimization technique that was employed, giving the results of a single (or several) optimal design(s).Procedure includes the relationship between torque of motor and other effects as they occur in an optimal design. The optimization method that was used in this paper is Differential Evolution as genetic algorithm. Optimal results are in picture as curves or in tabula.
Źródło:
Poznan University of Technology Academic Journals. Electrical Engineering; 2012, 72; 123-128
1897-0737
Pojawia się w:
Poznan University of Technology Academic Journals. Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A differential evolution approach to dimensionality reduction for classification needs
Autorzy:
Martinović, G.
Bajer, D.
Zorić, B.
Powiązania:
https://bibliotekanauki.pl/articles/331498.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
classification
differential evolution
feature subset selection
k-nearest neighbour algorithm
wrapper method
ewolucja różnicowa
selekcja cech
algorytm najbliższego sąsiada
Opis:
The feature selection problem often occurs in pattern recognition and, more specifically, classification. Although these patterns could contain a large number of features, some of them could prove to be irrelevant, redundant or even detrimental to classification accuracy. Thus, it is important to remove these kinds of features, which in turn leads to problem dimensionality reduction and could eventually improve the classification accuracy. In this paper an approach to dimensionality reduction based on differential evolution which represents a wrapper and explores the solution space is presented. The solutions, subsets of the whole feature set, are evaluated using the k-nearest neighbour algorithm. High quality solutions found during execution of the differential evolution fill the archive. A final solution is obtained by conducting k-fold cross-validation on the archive solutions and selecting the best one. Experimental analysis is conducted on several standard test sets. The classification accuracy of the k-nearest neighbour algorithm using the full feature set and the accuracy of the same algorithm using only the subset provided by the proposed approach and some other optimization algorithms which were used as wrappers are compared. The analysis shows that the proposed approach successfully determines good feature subsets which may increase the classification accuracy.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2014, 24, 1; 111-122
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Solution of singular optimal control problems using the improved differential evolution algorithm
Autorzy:
Lobato, F. S.
Steffen, Jr, V.
Silva Neto, A. J.
Powiązania:
https://bibliotekanauki.pl/articles/91654.pdf
Data publikacji:
2011
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
differential evolution algorithm
optimal control
dynamic updating
population
convergence rate
mechanical engineering
chemical engineering
Opis:
The Differential Evolution algorithm, like other evolutionary techniques, presents as main disadvantage the high number of objective function evaluations as compared with classical methods. To overcome this disadvantage, this work proposes a new strategy for the dynamic updating of the population size to reduce the number of objective function evaluations. This strategy is based on the definition of convergence rate to evaluate the homogeneity of the population in the evolutionary process. The methodology is applied to the solution of singular optimal control problems in chemical and mechanical engineering. The results demonstrated that the methodology proposed represents a promising alternative as compared with other competing strategies.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2011, 1, 3; 195-206
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-AUV distributed task allocation based on the differential evolution quantum bee colony optimization algorithm
Autorzy:
Li, J.
Zhang, R.
Powiązania:
https://bibliotekanauki.pl/articles/259994.pdf
Data publikacji:
2017
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
differential evolution quantum artificial bee colony algorithm
multi-AUV
contract net
task allocation
Opis:
The multi-autonomous underwater vehicle (AUV) distributed task allocation model of a contract net, which introduces an equilibrium coefficient, has been established to solve the multi-AUV distributed task allocation problem. A differential evolution quantum artificial bee colony (DEQABC) optimization algorithm is proposed to solve the multi-AUV optimal task allocation scheme. The algorithm is based on the quantum artificial bee colony algorithm, and it takes advantage of the characteristics of the differential evolution algorithm. This algorithm can remember the individual optimal solution in the population evolution and internal information sharing in groups and obtain the optimal solution through competition and cooperation among individuals in a population. Finally, a simulation experiment was performed to evaluate the distributed task allocation performance of the differential evolution quantum bee colony optimization algorithm. The simulation results demonstrate that the DEQABC algorithm converges faster than the QABC and ABC algorithms in terms of both iterations and running time. The DEQABC algorithm can effectively improve AUV distributed multi-tasking performance.
Źródło:
Polish Maritime Research; 2017, S 3; 65-71
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Learning finite Gaussian mixtures using differential evolution
Uczenie skończonych mieszanin rozkładów normalnych przy pomocy algorytmu ewolucji różnicowej
Autorzy:
Kwedlo, W.
Powiązania:
https://bibliotekanauki.pl/articles/341041.pdf
Data publikacji:
2010
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
mieszaniny rozkładów normalnych
ewolucja różnicowa
algorytm EM
Gaussian mixtures
differential evolution
EM algorithm
Opis:
In the paper the problem of parameter estimation of finite mixture of multivariate Gaussian distributions is considered. A new approach based on differential evolution (DE) algorithm is proposed. In order to avoid problems with infeasibility of chromosomes our version of DE uses a novel representation, in which covariance matrices are encoded using their Cholesky decomposition. Numerical experiments involved three version of DE differing by the method of selection of strategy parameters. The results of experiments, performed on two synthetic and one real dataset indicate, that our method is able to correctly identify the parameters of the mixture model. The method is also able to obtain better solutions than the classical EM algorithm. Keywords: Gaussian mixtures, differential evolution, EM algorithm.
W artykule rozważono problem uczenia parametrów skończonej mieszaniny wielowymiarowych rozkładów normalnych. Zaproponowano nową metodę uczenia opartą na algorytmie ewolucji różnicowej. W celu uniknięcia problemów z niedopuszczalnością chromosomów algorytm ewolucji różnicowej wykorzystuje nową reprezentację, w której macierze kowariancji są reprezentowane przy pomocy dekompozycji Cholesky’ego. W eksperymentach wykorzystano trzy wersje algorytmu ewolucji różnicowej różniące się metodą˛ doboru parametrów. Wyniki eksperymentów, przeprowadzonych na dwóch syntetycznych i jednym rzeczywistym zbiorze danych, wskazują że zaproponowana metoda jest w stanie poprawnie identyfikować parametry modelu. Metoda ta osiąga również lepsze wyniki niż klasyczyny algorytm EM.
Źródło:
Zeszyty Naukowe Politechniki Białostockiej. Informatyka; 2010, 5; 19-33
1644-0331
Pojawia się w:
Zeszyty Naukowe Politechniki Białostockiej. Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
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