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Wyszukujesz frazę "orthogonalization" wg kryterium: Temat

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    Wyświetlanie 1-5 z 5
    Tytuł:
    A modified independent component analysis-based fault detection method in plant-wide systems
    Autorzy:
    Teimoortashloo, M.
    Sedigh, A. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/205999.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    DICA
    fault detection
    running time
    orthogonalization
    Opis:
    This paper presents a modified Independent Component Analysis (ICA)-based Fault Detection Method (FDM). The proposed FDM constructs a set of matrices, revealingthe trend of the variable samples and execute ICA algorithm for each set of matrices in contrast to the FDM based on dynamic ICA (DICA) which constructs the high dimensional augmented matrix. This paper shows that the proposed FDM decreases the matrix dimensions and as a result compensates for some disadvantages of using the high dimensional matrix discussed in previous articles. Furthermore, other advantages of the proposed FDM are the decreases in the running time, computational cost of the algorithm and the orthogonalization estimation errors. Moreover, the proposed method improves the detectability for a class of faults compared to DICA-based FDM. This class of fault occurs when two or more consecutive samples of fault source signal have opposite signs and cancel out each other. Simulation results are provided to show the effectiveness of the proposed methodology.
    Źródło:
    Control and Cybernetics; 2015, 44, 2; 287-310
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Pseudo-orthogonalization of memory patterns for complex-valued and quaternionic associative memories
    Autorzy:
    Minemoto, T.
    Isokawa, T.
    Nishimura, H.
    Matsui, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/91608.pdf
    Data publikacji:
    2017
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    Hopfield neural network
    pseudo-orthogonalization
    complex numbers
    quaternions
    Opis:
    Hebbian learning rule is well known as a memory storing scheme for associative memory models. This scheme is simple and fast, however, its performance gets decreased when memory patterns are not orthogonal each other. Pseudo-orthogonalization is a decorrelating method for memory patterns which uses XNOR masking between the memory patterns and randomly generated patterns. By a combination of this method and Hebbian learning rule, storage capacity of associative memory concerning non-orthogonal patterns is improved without high computational cost. The memory patterns can also be retrieved based on a simulated annealing method by using an external stimulus pattern. By utilizing complex numbers and quaternions, we can extend the pseudo-orthogonalization for complex-valued and quaternionic Hopfield neural networks. In this paper, the extended pseudo-orthogonalization methods for associative memories based on complex numbers and quaternions are examined from the viewpoint of correlations in memory patterns. We show that the method has stable recall performance on highly correlated memory patterns compared to the conventional real-valued method.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 4; 257-264
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Two-dimensional partitioning of yield variation: a critical note.
    Autorzy:
    Kozak, Marcin
    Powiązania:
    https://bibliotekanauki.pl/articles/2199027.pdf
    Data publikacji:
    2006-06-22
    Wydawca:
    Instytut Hodowli i Aklimatyzacji Roślin
    Tematy:
    analysis of variance
    Gram-Schmidt orthogonalization
    sequential yield analysis
    two-dimensional partitioning
    Opis:
    The Two-Dimensional Partitioning (TDP) of Yield Variation is a method for studying a response variable (usually yield) as affected by successive traits contributing to it (first direction) and treatments (second direction). Many authors have found its usefulness, especially in plant breeding, but also in other agricultural and horticultural investigations. Since now, no disadvantages of the method have been pointed out. The objective of this paper is to discuss the statistical appropriateness of the TDP method. Two general problems are introduced, i.e., (1) employing sums of squares from ANOVA as factor effects, and (2) dealing with so-called cross-products, which cause that the TDP table is, actually, quite often very hard or even impossible to interpret. The author points out that inference based on TDP may be false and may lead to erroneous conclusions.
    Źródło:
    Plant Breeding and Seed Science; 2006, 53; 37-42
    1429-3862
    2083-599X
    Pojawia się w:
    Plant Breeding and Seed Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the tolerance averaging of heat conduction for periodic hexagonal-type composites
    Uśrednianie tolerancyjne przewodnictwa ciepła w kompozytach o periodycznej strukturze heksagonalnej
    Autorzy:
    Wierzbicki, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/395957.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    tolerancyjne uśrednianie
    kompozyty
    przewodnictwo cieplne
    tolerance averaging
    periodicity cell
    shapely hexagon
    orthogonalization method
    Opis:
    The paper deals periodic composites which two-dimensional material structure is determined by the anisotropic conductivity matrix invariant with respect to the pair of translations such that the periodic cell determined by them coincide with the shapely hexagon. Moreover, it will be assumed that the material structure is invariant over the [pi]/3-rotations with the centers of every hexagon as the origin of the rotation. The main aim of this paper is to prove that the tolerance model of such composite, obtained by the orthogonalization method, is isotropic.
    W pracy zaproponowano równoważną postać tolerancyjnie uśrednionego modelu przewodnictwa ciepła kompozytu o mikroperiodycznej strukturze materialnej typu plastra miodu. Założono niezmienniczość tej mikrostruktury względem obrotów o kąt 2 [pi] 3 a także taką samą niezmienniczość stosowanych funkcji kształtu. W otrzymanej nowej postaci model ten ma współczynniki izotropowe.
    Źródło:
    Civil and Environmental Engineering Reports; 2010, 5; 95-99
    2080-5187
    2450-8594
    Pojawia się w:
    Civil and Environmental Engineering Reports
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Statistical analysis of diabetes mellitus
    Autorzy:
    Drygas, Hilmar
    Powiązania:
    https://bibliotekanauki.pl/articles/729654.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
    Tematy:
    Gram-Schmidt orthogonalization
    regression model
    Gauss-Markov theorem
    least squares
    diabetes mellitus
    glucosis
    antidiabetica
    Opis:
    This paper deals with an application of regression analysis to the regulation of the blood-sugar under diabetes mellitus. Section 2 gives a description of Gram-Schmidt orthogonalization, while Section 3 discusses the difference between Gauss-Markov estimation and Least Squares Estimation. Section 4 is devoted to the statistical analysis of the blood-sugar during the night. The response change of blood-sugar is explained by three variables: time, food and physical activity ("Bewegung"). At the beginning of the section it is shown that the proposed method was very successful in 2007.
    Źródło:
    Discussiones Mathematicae Probability and Statistics; 2009, 29, 1; 69-90
    1509-9423
    Pojawia się w:
    Discussiones Mathematicae Probability and Statistics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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