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Artificial Intelligence Algorithms for Classification and Pattern Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F17%3AA2301HLN" target="_blank" >RIV/61988987:17310/17:A2301HLN - isvavai.cz</a>

  • Alternative codes found

    RIV/61988987:17310/17:A1701HLN

  • Result on the web

    <a href="http://dx.doi.org/10.4018/978-1-5225-0565-5.ch003" target="_blank" >http://dx.doi.org/10.4018/978-1-5225-0565-5.ch003</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4018/978-1-5225-0565-5.ch003" target="_blank" >10.4018/978-1-5225-0565-5.ch003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Artificial Intelligence Algorithms for Classification and Pattern Recognition

  • Original language description

    Classification tasks can be solved using so-called classifiers. A classifier is a computer based agent which can perform a classification task. There are many computational algorithms that can be utilized for classification purposes. Classifiers can be broadly divided into two categories: rule-based classifiers and computational intelligence based classifiers usually called soft computing. Rule-based classifiers are generally constructed by the designer, where the designer defines rules for the interpretation of detected inputs. This is in contrast to soft-computing based classifiers, where the designer only creates a basic framework for the interpretation of data. The learning or training algorithms within such systems are responsible for the generation of rules for the correct interpretation of data.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Pattern Recognition and Classification in Time Series Data

  • ISBN

    9781522505655

  • Number of pages of the result

    33

  • Pages from-to

    53-85

  • Number of pages of the book

    220

  • Publisher name

    IGI Global

  • Place of publication

    United States of America

  • UT code for WoS chapter