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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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