Voici les éléments 31-34 de 34
The effect of non-linear dynamic invariants in recurrent neural networks for prediction of electrocardiograms
(Texas Tech University, 1998-12)
The possibility of automatic and accurate prediction of heart failures from the analysis of electrocardiograms (EGG) could be a breakthrough in medicine, because cardiologists can sometimes identify diseases and foresee ...
Neural network model-based control of distillation columns
Distillation control is difficult because of its nonlinear, interactive and nonstationary behavior; but, unproved distillation control techniques can have a significant impact on improving product quality and environmental ...
Recognition of patterns in electronic communication signals using neural networks
(Texas Tech University, 1991-05)
This paper presents the results of research into automatic recognition of a class of electronic communication signals using a Back Propagation (BP) model neural network. Communication signals present an important and ...
Orthogonal least squares algorithm for RBF network design
It is desirable to have a neural network that can be trained fast and yet be good at generalization. Radial basis function (RBF) networks can be trained faster than the traditional back propagation networks, but suffer ...