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Weight vector estimation of circular arrays of antennas using Artificial Neural Networks
(2008-12-01)
This paper presents a model for the control of the radiation pattern of a circular array of antennas, shaping it to address the radiation beam in the direction of the user, in order to reduce the transmitted power and to ...
Weight vector estimation of circular arrays of antennas using Artificial Neural Networks
(2008-12-01)
This paper presents a model for the control of the radiation pattern of a circular array of antennas, shaping it to address the radiation beam in the direction of the user, in order to reduce the transmitted power and to ...
H2 and H∞ state-feedback control through multi-hop networks: trade-off analysis between the network load and performance degradation
(IEEE Latin America Transactions, 2020)
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 ...
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 ...
Radial basis function networks with quantized parameters
(2008-09-30)
A RBFN implemented with quantized parameters is proposed and the relative or limited approximation property is presented. Simulation results for sinusoidal function approximation with various quantization levels are shown. ...
Radial basis function networks with quantized parameters
(2008-09-30)
A RBFN implemented with quantized parameters is proposed and the relative or limited approximation property is presented. Simulation results for sinusoidal function approximation with various quantization levels are shown. ...
A soft sensor for energy efficient application of wireless networked control systems
(2014-02-24)
Recent advances in wireless networking technology and proliferation of industrial wireless sensor have led to an increased interest in using wireless networks in NCSs. The main advantages of these Wireless Networked Control ...
A Soft Sensor for Energy Efficient Application of Wireless Networked Control Systems
(Ieee, 2014-01-01)
Recent advances in wireless networking technology and proliferation of industrial wireless sensor have led to an increased interest in using wireless networks in NCSs. The main advantages of these Wireless Networked Control ...