The extreme learning machine (ELM) is a methodology for learning single-hidden layer
feedforward neural networks (SLFN) which has been proved to be extremely fast and to provide …

In this work a Multi-Layer Perceptron (MLP) Neural Network to predict the wind direction and
speed at Zaragoza is introduced. The model predicts there two variables, wind speed and …

The Extreme Learning Machine (ELM) is a recent algorithm for training single-hidden layer
feedforward neural networks (SLFN) which has shown promising results when compared …

Non-Dominated Sorting process, NDS, plays an important role in Pareto based Evolutionary
Multi-Objective Optimization Algorithms and it is one of the most time consuming tasks, …

In this work a Multiobjective Genetic Algorithm is developed in order to obtain an appropriate
ensemble of neural networks. The algorithm does not use any back-propagation method. …

Las instalaciones de tanques de gas licuado de propano (GLP) para uso doméstico y/o
comercial a pequeña escala son muy comunes en interfaces urbano-forestales (IUF). Este tipo …

μG-ELM is a multiobjective evolutionary algorithm which looks for the best (in terms of the
MSE) and most compact artificial neural network using the ELM methodology. In this work we …

The cyclin-dependent kinase 4 (CDK4) regulates progression through the G 1 phase of the
cell cycle. The activity of CDK4 is controlled by the opposing effects of the D-type cyclin, an …

An analogue of Kakutani's representation theorem for Banach lattice algebras is provided.
We characterize Banach lattice algebras that embed as a closed sublattice-algebra of $C(K)$ …

Con el término Programación lineal entera,(PLE), nos referiremos al siguiente tipo de
problemas: problemas que formalmente son problemas de programación lineal, máx/mın Z …