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    Wyświetlanie 1-3 z 3
    Tytuł:
    Primary Evaluation of the Economic Losses Caused by Water Pollution in Shanghai by Classification Approach
    Autorzy:
    Xu, B.
    Liu, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/204933.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    zanieczyszczenia wody
    Szanghaj
    primary evaluation
    water pollution losses
    Shanghai
    classification approach
    Opis:
    The primary evaluation of the economic losses caused by water pollution in Shanghai in the year 2009 is made by classifi cation approach in order to provide basis for decision of the relative water management policy. The result shows that the portion of water pollution losses in GDP of Shanghai was 2.7%, which was still lower than the average level of whole China despite of the local high population density and the scale of industry, suggesting to some extent the continuous attention in water protection paid by Shanghai government.
    Źródło:
    Archives of Environmental Protection; 2013, 39, 1; 67-74
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Formalized hierarchically nested expert system for classification of mesic and wet grasslands in Poland
    Autorzy:
    Kacki, Z.
    Swacha, G.
    Lengyel, A.
    Korzeniak, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/2130586.pdf
    Data publikacji:
    2020
    Wydawca:
    Polskie Towarzystwo Botaniczne
    Tematy:
    Cocktail method
    vegetation classification
    Molinio-Arrhenatheretea
    syntaxonomy
    diversity
    Braun-Blanquet approach
    Opis:
    The goal of this study was to propose a hierarchically nested classification system comprising four principal levels of the Braun-Blanquet system for Polish grasslands of the class Molinio-Arrhenatheretea. Using the Cocktail method, we defined consistent criteria for delimitation of the class, three orders, nine alliances, and 45 associations. Formal definitions were prepared using the summed cover and presence/absence information of species groups and individual dominant species. We created an expert system with a set of assignment rules that unambiguously classify relevés to a single unit at the given abstraction level of the Braun-Blanquet system in such a way that a relevé matched by the definition of a focal vegetation unit must be matched by definitions of all superior units. Of 11,535 relevés classified to Molinio-Arrhenatheretea, 36% were recognized at the association level, and 57% and 85% at the alliance and order level, respectively. All relevés were assigned unambiguously, meaning that a single relevé could not be assigned to more than one unit within the same hierarchical level (no overlap between vegetation units). This study is the first proposal of a hierarchically nested classification system that classifies grassland vegetation at different syntaxonomical levels unequivocally. It is important to create definitions for different syntaxonomical levels because the majority of vegetation patches do not fit to the associations, but can only be assigned to high-rank units such as alliance, order, or class.
    Źródło:
    Acta Societatis Botanicorum Poloniae; 2020, 89, 4
    0001-6977
    2083-9480
    Pojawia się w:
    Acta Societatis Botanicorum Poloniae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A weighted wrapper approach to feature selection
    Autorzy:
    Kusy, Maciej
    Zajdel, Roman
    Powiązania:
    https://bibliotekanauki.pl/articles/2055180.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    feature selection
    wrapper approach
    feature significance
    weighted combined ranking
    convolutional neural network
    classification accuracy
    selekcja cech
    sieć neuronowa konwolucyjna
    dokładność klasyfikacji
    Opis:
    This paper considers feature selection as a problem of an aggregation of three state-of-the-art filtration methods: Pearson’s linear correlation coefficient, the ReliefF algorithm and decision trees. A new wrapper method is proposed which, on the basis of a fusion of the above approaches and the performance of a classifier, is capable of creating a distinct, ordered subset of attributes that is optimal based on the criterion of the highest classification accuracy obtainable by a convolutional neural network. The introduced feature selection uses a weighted ranking criterion. In order to evaluate the effectiveness of the solution, the idea is compared with sequential feature selection methods that are widely known and used wrapper approaches. Additionally, to emphasize the need for dimensionality reduction, the results obtained on all attributes are shown. The verification of the outcomes is presented in the classification tasks of repository data sets that are characterized by a high dimensionality. The presented conclusions confirm that it is worth seeking new solutions that are able to provide a better classification result while reducing the number of input features.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 685--696
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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