Stress smoothing in hexaedrons using artificial neural networks

Authors:
Leonardo Ivirma;Mary Vergara;Sebastian Provenzano;Francklin Rivas;Anna Perez;Francisco Fuenmayor
Affiliations:
Dpto. de Investigación de Operaciones, Universidad de Los Andes, Venezuela;Grupo de Diseño y Modelado de Máquinas, Escuela de Ing. Mecánica, Universidad de Los Andes, Venezuela;Grupo de Diseño y Modelado de Máquinas, Escuela de Ing. Mecánica, Universidad de Los Andes, Venezuela;Laboratorio de Sistemas Inteligentes, Universidad de Los Andes, Venezuela;Facultad de Ciencias Económicas y Sociales, Escuela de Estadística, Universidad de Los Andes, Venezuela;Universidad Politécnica de Valencia, Spain
Venue:
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
Year:
2009

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Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms

Computers and Operations Research

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Abstract

ANN models are computational modeling tools that have recently emerged and found extensive acceptance in many disciplines for modeling complex real-world problems. ANNs produce complicated nonlinear models relating the inputs (the independent variables ...