Artificial Intelligence Algorithms for Classification and Pattern Recognition

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61988987:17310/17:A1701HLN

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Artificial Intelligence Algorithms for Classification and Pattern Recognition

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Artificial Intelligence Algorithms for Classification and Pattern Recognition

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Pattern Recognition and Classification in Time Series Data

ISBN

9781522505655

Počet stran výsledku

33

Strana od-do

53-85

Počet stran knihy

220

Název nakladatele

IGI Global

Místo vydání

United States of America

Kód UT WoS kapitoly

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