Accelerating the convergence speed of neural networks (2008)
Oscar Fontenla-romero, Deniz Erdogmus, Jose C. Principe, Amparo Alonso-betanzos, Enrique Castillo
learning methods using least squares
Deniz Erdogmus, Oscar Fontenla-romero, Jose C. Principe, Amparo Alonso-betanzos, Enrique Castillo
Abstract—Training multilayer neural networks is typically carried out using descent techniques such as the gradient-based backpropagation (BP) of error or the quasi-Newton approaches including the...
Shear Strength Prediction using Dimensional Analysis and Functional Networks (2008)
Amparo Alonso-betanzos, Enrique Castillo, Noelia Sánchez-maroño
Abstract. This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets of...
Amparo Alonso-betanzos, Bertha Guijarro-berdiñas
Abstract. The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruction space...
A New Wrapper Method for Feature Subset Selection (2008)
Noelia Sánchez-maroño, Amparo Alonso-betanzos, Enrique Castillo
Abstract. ANOVA decomposition is used as the basis for the development of a new wrapper feature subset selection method, in which functional networks are used as the induction algorithm. The...
An Approach to Validate Intelligent Monitoring Systems in Critical Care (2007)
Amparo Alonso-betanzos, Eduardo Mosqueira-rey
: Performance analysis of intelligent systems is an important task that should be considered within the developing cycle of such systems. In this work the authors present a formal approach to deal...