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IWANN
2001
Springer
15 years 2 months ago
Image Quality Enhancement for Liquid Bridge Parameter Estimation with DTCNN
This work present the use of a neural structure to augment the quality of noisy images of liquid bridges to obtain a clear representation of its border in order to determine the ac...
Miguel A. Jaramillo Morán, J. Álvaro...
ICANN
1997
Springer
15 years 1 months ago
A Novelty Detector Using a Network of Integrate and Fire Neurons
Information in the nervous system has often been considered as being represented by simultaneous discharge of a large set of neurons. We propose a learning mechanism for neural inf...
Tuong Vinh Ho, Jean Rouat
IJCNN
2008
IEEE
15 years 4 months ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...
NN
2006
Springer
14 years 9 months ago
Neural systems implicated in delayed and probabilistic reinforcement
This review considers the theoretical problems facing agents that must learn and choose on the basis of reward or reinforcement that is uncertain or delayed, in implicit or proced...
Rudolf N. Cardinal
AINA
2010
IEEE
14 years 8 months ago
Compensation of Sensors Nonlinearity with Neural Networks
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
Nicholas J. Cotton, Bogdan M. Wilamowski