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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

1. Introduction

verfasst von : Jonathan Amezcua, Patricia Melin, Oscar Castillo

Erschienen in: New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

Verlag: Springer International Publishing

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Abstract

A classification problem consists in categorizing an object based on certain attributes, with the aim of identifying to which class it belongs to. For instance, a fruit could be classified based on its size, color, or shape; the same way as an automobile, a flower, an animal, among others. All these objects have their own attributes, and which attributes are considered for classifying an object (or event) will depend on the problem to work with. For example, a heart disease could be classified using data obtained from a Holter device, a tumor or a cancer cell could be classified based on the data of an image.

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Nächstes Kapitel Theory and Background
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Metadaten
Titel
Introduction
verfasst von
Jonathan Amezcua
Patricia Melin
Oscar Castillo
Copyright-Jahr
2018
Buch
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

Print ISBN: 978-3-319-73772-0

Electronic ISBN: 978-3-319-73773-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-73773-7_1