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Combining neural networks and genetic algorithms to predict and reduce diesel engine emissions

Author
ALONSO, José M1 ; ALVARRUIZ, Fernando1 ; DESANTES, José M2 ; HERNANDEZ, Leonor3 ; HERNANDEZ, Vicente1 ; MOLTO, German1
[1] High Performance Networking and Computing Group, Universidad Politécnica de Valencia, Valencia 42022, Spain
[2] CMT-Thermal Engines Group, Universidad Politécnica de Valencia, Valencia 46022, Spain
[3] Departamento de Ingenieria Mecánica y Construcción, Universitat Jaume I, Castellón de la Plana 12071, Spain
Source

IEEE transactions on evolutionary computation. 2007, Vol 11, Num 1, pp 46-55, 10 p ; ref : 49 ref

CODEN
ITEVF5
ISSN
1089-778X
Scientific domain
Computer science
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Diesel engines emission regulations genetic algorithms (GAs) neural networks
Keyword (fr)
Algorithme génétique Algorithme évolutionniste Base donnée très grande Condition opératoire Condition stationnaire Essai moteur Faisabilité Fonction objectif Impact environnement Moteur combustion interne Moteur diesel Optimisation Préparation gamme fabrication Réseau neuronal
Keyword (en)
Genetic algorithm Evolutionary algorithm Very large databases Operating conditions Stationary condition Engine test Feasibility Objective function Environment impact Internal combustion engine Diesel engine Optimization Process planning Neural network
Keyword (es)
Algoritmo genético Algoritmo evoluciónista Condición operatoria Condición estacionaria Ensayo motor Practicabilidad Función objetivo Impacto medio ambiente Motor explosión interna Motor diesel Optimización Preparación serie fabricación Red neuronal
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18503140

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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