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Novel probabilty neural network

Author
CANG, S1 ; YU, H2
[1] Epidemiology and Statistics Section, Health and Safety Laboratory, Harpur Hill, Buxton, Derbyshire, SK17 93N, United Kingdom
[2] Faculty of Computing, Engineering and Technology, Staffordshire University, Stafford ST18 0DG, United Kingdom
Source

IEE proceedings. Vision, image and signal processing. 2005, Vol 152, Num 5, pp 535-544, 10 p ; ref : 9 ref

ISSN
1350-245X
Scientific domain
Telecommunications
Publisher
Institution of Electrical Engineers, Stevenage
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Algorithme Analyse amas Apprentissage Arbre décision Classification non supervisée Classification signal Fonction base radiale Fonction densité probabilité Maladie Méthode statistique Perceptron multicouche Réseau neuronal Théorie mélange Validation croisée
Keyword (en)
Algorithm Cluster analysis Learning Decision tree Unsupervised classification Signal classification Radial basis function Probability density function Disease Statistical method Multilayer perceptrons Neural network Mixture theory Cross validation
Keyword (es)
Algoritmo Analisis cluster Aprendizaje Arbol decisión Clasificación no supervisada Función radial base Función densidad probabilidad Enfermedad Método estadístico Red neuronal Teoría mezcla Validación cruzada
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis

Discipline
Computer science : theoretical automation and systems Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17189560

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

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