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Generating Random Variates via Kernel Density Estimation and Radial Basis Function Based Neural Networks
(Lecture Notes in Computer Science, 2019)
Earthquake classifying neural networks trained with random dynamic neighborhood PSOs
(2011-05-26)
This paper investigates the use of Random Dynamic Neighborhoods in Particle Swarm Optimization (PSO) for the purposeof training fixed-architecture neural networks to classify a real-world data set of seismological data.Instead ...
Using artificial intelligence for the control of medium voltage substations
(2002-12-01)
This paper introduces a method for the supervision and control of devices in electric substations using fuzzy logic and artificial neural networks. An automatic knowledge acquisition process is included which allows the ...
Explainable prediction of chronic renal disease in the Colombian population using neural networks and case-based reasoning
This paper presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD). The model is trained with the demographic data and medical care information of two ...
Convolutional neural networks ensembles through single-iteration optimization
(2022-01-01)
Convolutional Neural Networks have been widely employed in a diverse range of computer vision-based applications, including image classification, object recognition, and object segmentation. Nevertheless, one weakness of ...
Damage detection in beams by using artificial neural networks and dynamical parameters
(IMPRENTA UNIV ANTIOQUIAMEDELLIN, 2012-06)
In this paper is presented a multilayer perceptron neural network combined with the Nelder-Mead Simplex method to detect damage in multiple support beams. The input parameters are based on natural frequencies and modal ...
Skin Detection in Digital Images with Artificial Neural Networks
(2018-12-14)
The increasing capacity of data processing in personal computers and devices could develop filters and automatic classifiers working in real time and applied in several areas. Considering Digital Image Processing and ...
Skin detection in digital images with artificial neural networks
(Ieee, 2018-01-01)
The increasing capacity of data processing in personal computers and devices could develop filters and automatic classifiers working in real time and applied in several areas. Considering Digital Image Processing and ...
Use of virtual load curves for the training of neural networks for residential electricity consumption forecasting applications
(Ieee, 2018-01-01)
Smart grids are becoming increasingly closer to consumers, especially residential consumers, bringing with them a wide range of possibilities. The level of information obtained on a smart grid will be much higher when ...