Buscar
Mostrando ítems 1-10 de 377
Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization
(2016-08-11)
Many approaches using neural networks have been studied in the past years. A number of architectures for different objectives are presented in the literature, including probabilistic neural networks (PNNs), which have shown ...
Identification of lubricant contamination by biodiesel using vibration analysis and neural network
(Emerald Group Publishing Limited, 2012-01-01)
Purpose - The purpose of this paper is to provide information on lubricant contamination by biodiesel using vibration and neural network.Design/methodology/approach - The possible contamination of lubricants is verified ...
Identification of lubricant contamination by biodiesel using vibration analysis and neural network
(Emerald Group Publishing Limited, 2012-01-01)
Purpose - The purpose of this paper is to provide information on lubricant contamination by biodiesel using vibration and neural network.Design/methodology/approach - The possible contamination of lubricants is verified ...
Identification of lubricant contamination by biodiesel using vibration analysis and neural network
(Emerald Group Publishing Limited, 2014)
Multiple Fault Diagnosis in Electrical Power Systems with Dynamic Load Changes Using Probabilistic Neural Networks
(Revista Computación y Sistemas; Vol. 14 No.1, 2010-09-30)
Abstract. Power systems monitoring is particularly challenging due to the presence of dynamic load changes in normal operation mode of network nodes, as well as the presence of both continuous and discrete variables, noisy ...
Generating Random Variates via Kernel Density Estimation and Radial Basis Function Based Neural Networks
(Lecture Notes in Computer Science, 2019)
Probabilistic neural network to predict cracks in taphole mud used in blast furnaces
(Techna Srl, 2008-09-01)
One of the major problems facing Blast Furnaces is the occurrence of cracks in taphole mud, as the underlying causes are not easily identifiable. The absence of this knowledge makes it difficult the use of conventional ...
Probabilistic neural network to predict cracks in taphole mud used in blast furnaces
(Techna Srl, 2008-09-01)
One of the major problems facing Blast Furnaces is the occurrence of cracks in taphole mud, as the underlying causes are not easily identifiable. The absence of this knowledge makes it difficult the use of conventional ...
Probabilistic neural networks applied to mineral potential mapping for platinum group elements in the Serra Leste region, Carajas Mineral Province, Brazil
(Pergamon-elsevier Science LtdOxfordInglaterra, 2009)