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Stock market prediction by a mixture of genetic-neural experts

Author
ARMANO, Giuliano1 ; MURRU, Andrea1 ; ROLI, Fabio1
[1] DIEE, Department of Electrical and Electronic Engineering, University of Cagliari Piazza d'Armi, 09123, Cagliari, Italy
Source

International journal of pattern recognition and artificial intelligence. 2002, Vol 16, Num 5, pp 501-526 ; ref : 53 ref

ISSN
0218-0014
Scientific domain
Computer science; Telecommunications
Publisher
World Scientific, Singapore
Publication country
Singapore
Document type
Article
Language
English
Keyword (fr)
Algorithme génétique Analyse information Base connaissance Bourse valeurs Donnée financière Information technique Marché valeurs Mode hybride Prix marché Prédiction Prévision Réseau neuronal récurrent Réseau neuronal Réseau télécommunication Capabilité
Keyword (en)
Genetic algorithm Information analysis Knowledge base Stock exchange Financial data Technical information Stock markets Hybrid mode Market price Prediction Forecasting Recurrent neural networks Neural network Telecommunication network Capability
Keyword (es)
Algoritmo genético Base conocimiento Bolsa valores Datos financieros Información técnica Modo híbrido Predicción Previsión Red neuronal Red telecomunicación
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A10 Portfolio theory

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Discipline
Computer science : theoretical automation and systems Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
13930404

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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