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Wyszukujesz frazę "Kimura, Keiko" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
The Nuclear Holocaust: Sylvia Plath as a Mother Poet
Autorzy:
Kimura, Keiko
Powiązania:
https://bibliotekanauki.pl/articles/545304.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Gdański. Wydział Filologiczny
Tematy:
Sylvia Plath
Nuclear Holocaust
Cold War
Opis:
Sylvia Plath is a kind of poet whose personal experience enlarges to the larger historical one. We can find it in her invocation of historical tragedies such as the Holocaust and Hiroshima. Plath uses these tragedies to reveal her anxieties under the pressure of the Cold War. In this paper, I write about her reference to the Holocaust in light of the specter of nuclear war. Plath produced a variety of poems in the last quarter of 1962. In October especially, in the month of the Cuban Missile Crisis which occurred at the height of the Cold War, she created 25 poems, which were later called the “October Poems”. It seems that her dominated anxieties triggered her to write a host of poems. This time I focus on Plath’s mother-child related poems. Her anxieties about the effects of nuclear bombs were directly connected to her children.
Źródło:
Jednak Książki. Gdańskie Czasopismo Humanistyczne; 2016, 6; 141-150
2353-4699
Pojawia się w:
Jednak Książki. Gdańskie Czasopismo Humanistyczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Enhancing island model genetic programming by controlling frequent trees
Autorzy:
Ono, Keiko
Hanada, Yoshiko
Kumano, Masahito
Kimura, Masahiro
Powiązania:
https://bibliotekanauki.pl/articles/91860.pdf
Data publikacji:
2019
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
genetic programming
island model
frequent tree-based migration strategy
Opis:
In evolutionary computation approaches such as genetic programming (GP), preventing premature convergence to local minima is known to improve performance. As with other evolutionary computation methods, it can be difficult to construct an effective search bias in GP that avoids local minima. In particular, it is difficult to determine which features are the most suitable for the search bias, because GP solutions are expressed in terms of trees and have multiple features. A common approach intended to local minima is known as the Island Model. This model generates multiple populations to encourage a global search and enhance genetic diversity. To improve the Island Model in the framework of GP, we propose a novel technique using a migration strategy based on textit frequent trees and a local search, where the frequent trees refer to subtrees that appear multiple times among the individuals in the island. The proposed method evaluates each island by measuring its activation level in terms of the fitness value and how many types of frequent trees have been created. Several individuals are then migrated from an island with a high activation level to an island with a low activation level, and vice versa. The proposed method also combines strong partial solutions given by a local search. Using six kinds of benchmark problems widely adopted in the literature, we demonstrate that the incorporation of frequent tree information into a migration strategy and local search effectively improves performance. The proposed method is shown to significantly outperform both a typical Island Model GP and the aged layered population structure method.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 1; 51-65
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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