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A reliability-based development of load factors for the combination of seismic and gravity loads is presented. The procedure aims at minimizing the total expected life-cycle cost of buildings, having as a constraint a maximum value of the mean annual failure rate. The loads considered are dead, live and earthquake loads. The methodology is applied to a large inventory of reinforced concrete frames...
This paper presents the application of a recurrent multilayer perceptron neural network for modeling blood glucose dynamics in Type 1 Diabetes Mellitus (T1DM). Training is performed based on an extended Kalman filtering (EKF) learning algorithm. Then, the EKF performance is compared with the well-known Levenberg-Marquardt (LM) learning algorithm. The goal is to derive a dynamical mathematical model...
An automated classification based on S-transform as feature extraction tool and Artificial Neural Network as algorithm classifier is presented. The signals generated according to mathematical models have been used to obtain experimental results in two stages, first, with a data set with only simple disturbances and, later, including complex disturbances, more usual in real electrical systems. In both...
An automated classification system based on Wavelet transform as a feature extraction tool in combination with Artificial Neural Network as algorithm classifier is presented. Perturbed signals generated according to mathematical models have been used to obtain experimental results in two stages, first, with a data set with simple disturbances and, later, including complex disturbances, more usual...
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