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Tytuł artykułu

Pre-processing and pattern recognition methods for artificial olfaction systems: a review

Identyfikatory
Warianty tytułu
PL
Przegląd metod obróbki wstępnej i rozpoznawania obrazów w sztucznych systemach olfakcyjnych
Języki publikacji
EN
Abstrakty
EN
Data analysis is a fundamental part of artificial olfaction systems. Nonetheless, while electrical and mechanical components of electronic noses are deeply investigated and optimised for the specific applications, data analysis is sometimes performed without any critical understanding about hypotheses on which it is founded. Several methodologies were imported into this field and utilised to correlate electronic nose data to the information required for classification purposes. Chemometrics and neural networks are the sources of the most popular methods currently in use. In this paper some of the most used methodologies of data analysis are reviewed and their use for electronic nose data is discussed. Although the discussion is given considering chemical sensor arrays, the conclusions are generic and valid for a broader range of sensor systems.
PL
Analiza danych stanowi podstawową część sztucznych systemów olfakcyjnych. Pomimo tego, podczas gdy elementy elektryczne i mechaniczne nosów elektronicznych są badane dogłębnie i optymalizowane dla potrzeb konkretnych zastosowań, analizę danych przeprowadza się niekiedy bez jakiegokolwiek krytycznego rozpatrywania hipotez, na których jest oparta. W badaniach tej dziedziny wiedzy zastosowano kilka metodologii dla skorelowania danych o nosie elektronicznym z informacją potrzebną dla celów klasyfikacji. Chemometria i sieci neuronowe stanowią źródło najbardziej popularnych metod będących obecnie w użyciu. W niniejszej pracy dokonano przeglądu metod najczęściej stosowanych w analizie danych i omawia się ich stosowanie do danych z nosów elektronicznych. Chociaż omówienie dotyczy zespołów czujników chemicznych, wnioski są ogólne i słuszne dla szerszego zakresu systemów czujników.
Rocznik
Strony
3--25
Opis fizyczny
Bibliogr. 45 poz., rys., tab., wykr.
Twórcy
autor
  • University of Rome “Tor Vergata” Department of Electronic Engineering, Roma, Italy
  • CNR-IMM, Sezione di Roma, Roma, Italy
  • University of Rome “Tor Vergata” Department of Electronic Engineering, Roma, Italy
autor
  • University of Rome “Tor Vergata” Department of Electronic Engineering, Roma, Italy
  • CNR-IMM, Sezione di Roma, Roma, Italy
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW1-0014-0001
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