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type: Thesis
acceptance date: 2023-01-12
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creation year: 2005
description: Przedmiotem pracy jest projekt i realizacja systemu wykrywania zmiany trendu w szeregach czasowych z zależnością dalekiego zasięgu przy pomocy tzw. algorytmu Negatywnej Selekcji, wzorowanego na sposobie cenzurowania limfocytów typu T w układzie odpornościowym ssaków. Jest to szczegółowy przypadek zadania detekcji anomalii w szeregach czasowych, który nie był do tej pory rozwiązany przy pomocy Sztucznych Systemów Immunologicznych, nowej dziedziny obliczeń inteligentnych. Na wstępie autor przedstawia obszar dziedzinowy zagadnienia, definiując podstawowe pojęcia i analizując stan dotychczasowych badań nad zagadnieniami podobnymi do poruszanych w rozprawie. Wybiera on najlepszą jego zdaniem strategię wykrywania zmiany trendu oraz przedstawia zmodyfikowany przez siebie immunologiczny algorytm Negatywnej Selekcji, wykorzystany do konstrukcji systemu. W dalszej części przedstawione są eksperymenty przeprowadzone na danych rzeczywistych oraz syntetycznych. Otrzymane wyniki zostały zaprezentowane w sposób pokazujący korzyści wynikające z modyfikacji bazowego algorytmu i porównane z innymi metodami wykrywania trendu.
destination group: studenci
destination group: naukowcy
destination group: uczniowie
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language: Polski
number of pages: 161
origin: AZON2
place of creation: Warszawa
scientific discipline: Dziedzina nauk ścisłych i przyrodniczych / matematyka (2018)
supervisor: http://id.e-science.pl/vocab/person/17211
title: Zastosowania algorytmu immunologicznego do wykrywania zmiany trendu w szeregach czasowych (PD-2006-02)

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