A discrete-time recurrent neurofuzzy network for black-box modeling of insulin dynamics in diabetic type-1 patients
MA González-Olvera… - … Journal of Neural …, 2010 - World Scientific
In this work we present a data-driven modeling of the insulin dynamics in different in silico
patients using a recurrent neural network with output feedback. The inputs for the …
patients using a recurrent neural network with output feedback. The inputs for the …
Identification of a class of nonlinear systems by a continuous-time recurrent neurofuzzy network
MA Gonzalez-Olvera, Y Tang - 2009 American Control …, 2009 - ieeexplore.ieee.org
In this paper we present a new continuous-time recurrent neurofuzzy network structure for
modeling and identification of a class of nonlinear systems, using a training algorithm …
modeling and identification of a class of nonlinear systems, using a training algorithm …
A continuous-time recurrent neurofuzzy network for black-box modeling of insulin dynamics in diabetic type-1 patients
MA González-Olvera, AG Gallardo-Hernández… - Advances in …, 2009 - Springer
Diabetic Type-1 patients have no pancreatic insulin secretion, and an insulin therapy is
prescribed for them to regulate glucose absorption. There are several self monitoring …
prescribed for them to regulate glucose absorption. There are several self monitoring …
Black-box modeling of a 2-DOF manipulator in the image plane using recurrent neurofuzzy networks
MA Gonzalez-Olvera… - Proceedings of the …, 2009 - ieeexplore.ieee.org
Visual servoing, using the visual measurements direct in the control loop, is a problem that
in recent years has grown in interest. One of the main problems involved in these systems is …
in recent years has grown in interest. One of the main problems involved in these systems is …