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Backpropagation through Time Algorithm for Training Recurrent Neural Networks using Variable Length Instances
(Computación y Sistemas; Vol. 17 No. 1, 2013-03-06)
Abstract: Artificial Neural Networks (ANNs) are grouped within connectionist techniques of Artificial Intelligence. In particular, Recurrent Neural Networks are a type of ANN which is widely used in signal reproduction ...
Detection of diabetic retinopathy based on a convolutional neural network using retinal fundus images
(Springer Verlag, 2017)
Diabetic retinopathy is one of the leading causes of blindness. Its damage is associated with the deterioration of blood vessels in retina. Progression of visual impairment may be cushioned or prevented if detected early, ...
A recurrent neural network for real time electrical microgrid prototype optimization
(Institute of Electrical and Electronics Engineers, 2016)
Recurrent neural networks with fixed time convergence for linear and quadratic programming
(Institute of Electrical and Electronics Engineers, 2016)
Recurrent neural networks with fixed time convergence for linear and quadratic programming
(Institute of Electrical and Electronics Engineers, 2016)
Fuzzy ARTMAP Neural Network IDS Evaluation applied for real IEEE 802.11w data base
(2018-10-10)
In the latest years, the network computers and computational systems are receiving several cyber-attacks that affect its security. This issue is pushing researches at intrusion detection system (IDS) techniques development. ...
Fuzzy ARTMAP Neural Network IDS Evaluation applied for real IEEE 802.11w data base
(Ieee, 2018-01-01)
In the latest years, the network computers and computational systems are receiving several cyber-attacks that affect its security. This issue is pushing researches at intrusion detection system (IDS) techniques development. ...
Learning styles' recognition in e-learning environments with feed-forward neural networks
(Blackwell Publishing, 2006-05-10)
People have unique ways of learning, which may greatly affect the learning process and, therefore, its outcome. In order to be effective, e-learning systems should be capable of adapting the content of courses to the ...
Identification and adaptive PID Control of a hexacopter UAV based on neural networks
(John Wiley & Sons Ltd, 2019-01)
In this paper, a novel adaptive PID controller for trajectory-tracking tasks is proposed. It is implemented in discrete time over a hexacopter, and it takes into consideration the unmanned aerial vehicles (UAVs) nonlinear ...