Treffer: A fuzzy relational neural network for pattern classification
Title:
A fuzzy relational neural network for pattern classification
Authors:
Source:
Progress in pattern recognition, image analysis and applications (Puebla, 26-29 October 2004)Lecture notes in computer science. :358-365
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Algorithme apprentissage, Learning algorithm, Algoritmo aprendizaje, Algorithme rétropropagation, Backpropagation algorithm, Algoritmo retropropagación, Analyse image, Image analysis, Análisis imagen, Anatomopathologie, Anatomic pathology, Anatomía patológica, Classification forme, Pattern classification, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Logique floue, Fuzzy logic, Lógica difusa, Modélisation, Modeling, Modelización, Méthode minimax, Minimax method, Método minimax, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Relation floue, Fuzzy relation, Relación difusa, Réseau neuronal flou, Fuzzy neural nets, Réseau neuronal, Neural network, Red neuronal
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Instituto Nacional de Astrofisica Optica y Electronica (INAOE), Mexico
Instituto Tecnologico de Apizaco, Mexico
Instituto Tecnologico de Apizaco, Mexico
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16334308
Database:
PASCAL Archive
Weitere Informationen
In this paper we describe the implementation of a fuzzy relational neural network model. In the model, the input features are represented by fuzzy membership, the weights are described in terms of fuzzy relations. The output values are obtained with the max-min composition, and are given in terms of fuzzy class membership values. The learning algorithm is a modified version of back-propagation. The system is tested on an infant cry classification problem, in which the objective is to identify pathologies in recently born babies.