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Un algoritmo para el entrenamiento de máquinas de vector soporte para regresión
Un algoritmo para el entrenamiento de máquinas de vector soporte para regresión
(2009-02-19)
The aim of the present paper is twofold. Firstly an introduction to the ideas of Support Vector regression is given. then a new and simple algorithm, suggested by the work of Campbell y Cristianini in [16], is proposed ...
Un problema de localización de plantas de gran escala
(2009-02-19)
En este artículo se desarrolla un algoritmo heurístico y su correspondiente implementación para resolver un problema de localización de plantas (facility location) de gran escala, en donde surgen potencialmente más de 640 ...
Estimación de parámetros de regresión no lineal mediante colonia de abejas artificiales
(2013-04-04)
Este trabajo presenta los resultados de la técnica heurística de ABC (Artificial Bee Colony) utilizada para estimar los parámetros de modelos de regresión no lineal. El algoritmo fue probado sobre 27 bases de datos de la ...
General guidelines solution for linear programming with fuzzy coefficients
Lineamientos generales de solución para programación lineal con coeficientes borrosos
(2013-08-29)
This work introduce to the Possibilistic Programming and the Fuzzy Programming as paradigms that allow to resolve problems of linear programming when the coefficients of the model or the restrictions on the same are presented ...
Artificial bee colony and particle swarm optimization for the estimation of nonlinear regression parameters
Colonia de abejas artificiales y optimización por enjambre de partículas para la estimación de parámetros de regresión no lineal
(2014-04-03)
This paper shows the comparison results of ABC (Artificial Bee Colony) and PSO (Particle Swarm Optimization) heuristic tech- niques that were used to estimate parameters for nonlinear regression models. The algorithms were ...
Optimal design of networks and routing of computers: practical case
Diseño óptimo de redes y enrutamiento de computadoras: Caso Práctico
(2010-04-16)
This work introduced to the problem of routering and optimum design of networks of computers that must satisfy certain practical conditions of interconnectivity. This paper show an approach style Steiner problems, and ...
Simulated Annealing–Golden section algorithm for the multiproduct replenishment problem with stochastic demand.
Algoritmo recocido simulado–sección dorada para el problema de reaprovisionamiento multiproducto con demanda estocástica
(2010-07-02)
The joint replenishment problem (JRP) has been studied for over 30 years and there are both heuristic and exact algorithms to determine the frequency of orders and fundamental cycle; in recent years ithas been considered ...
Fuzzy Regression VS. Ordinary Least Squares Regression: Case Study
Regresión Borrosa VS. Regresión por Mínimos Cuadrados Ordinarios: Caso de Estudio
(2011-03-18)
The objective of this paper is to disseminate the technique of fuzzy regression and to give a practical example of its use. To this end, classical regression is compared to several fuzzy regression models on a problem ...
New geometrical compactness measures for zones design
Nuevas medidas de compacidad geométrica para el diseño de zonas
(2012-07-01)
The design of compact zones has been studied because of its influence in the creation of zones with regular forms, which are easier to analyze, to investigate or to administer. This paper propose a new method to measure ...
Método heurístico para particionamiento óptimo
Método heurístico para particionamiento óptimo
(2009-02-20)
Many data analysis problems deal with non supervised partitioning of a data set,in non empty clusters well separated between them and homogeneous within the clusters.An ideal partitioning is obtained when any object can ...