Buscar
Mostrando ítems 1-10 de 997
Projeto E análise de uma rede neural para resolver problemas de programação dinâmica
(2001-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with ...
Projeto E análise de uma rede neural para resolver problemas de programação dinâmica
(2001-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with ...
Dynamic and recursive oil-reservoir proxy using Elman neural networks
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this work, a reservoir simulation approximation model (proxy) based on recurrent artificial neural networks is proposed. This model is intended to obtain rates of oil, gas and water production at time t+1 from the ...
AN ARTIFICIAL NEURAL SYSTEM FOR CLOSED-LOOP CONTROL OF LOCOMOTION PRODUCED VIA NEUROMUSCULAR ELECTRICAL-STIMULATION
(Blackwell Science Publ Inc CambridgeCambridge, 1995)
A proposed neural control for the trajectory tracking of a nonholonomic mobile robot with disturbances
(2012-10-25)
In this paper, a trajectory tracking control problem for a nonholonomic mobile robot by the integration of a kinematic neural controller (KNC) and a torque neural controller (TNC) is proposed, where both the kinematic and ...
A proposed neural control for the trajectory tracking of a nonholonomic mobile robot with disturbances
(2012-10-25)
In this paper, a trajectory tracking control problem for a nonholonomic mobile robot by the integration of a kinematic neural controller (KNC) and a torque neural controller (TNC) is proposed, where both the kinematic and ...
Development of neurofuzzy architecture for solving the N-Queens problem
(Taylor & Francis Ltd, 2005-11-01)
Neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent ...
Identification and control of nonlinear dynamics of a mobile robot in discrete time using an adaptive technique based on neural PID
(Springer, 2014-12)
In this work, original results, concerning the application of a discrete-time adaptive PID neural controller in mobile robots for trajectory tracking control, are reported. In this control strategy, the exact dynamical ...