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International Conference on Artificial Intelligence and Pattern Recognition 2009, AIPR 2009(1)
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scopus(8)
Diagnosis of multiple sclerosis using brain stem auditory evoked potentials
Conference ObjectAbstract: The main obstacle in the application of neural networks to the classification of biological signalsPalabras claves:Health Sciences, Multiple Sclerosis, Neural networks, Radial Basis Functions, Signal processing, waveletsAutores:Ángel García GutiérrezFuentes:scopusInfluence of the training methods in the diagnosis of multiple sclerosis using radial basis functions artificial neural networks
Conference ObjectAbstract: The data available in the average clinical study of a disease is very often small. This is one of thPalabras claves:Health Sciences, Multiple Sclerosis., Neural networks, Particle Swarm Optimization, Radial Basis Functions, Signal processing, waveletsAutores:Ángel García GutiérrezFuentes:scopusPreprocessing of brain STEM auditory evoked potentials for diagnosing multiple sclerosis
Conference ObjectAbstract: Artificial neural networks, with radial basis functions (ANNRB), are used to diagnose patients withPalabras claves:Clustering algorithms, Health Sciences, Multiple Sclerosis, Neural networks, Signal processing, waveletsAutores:Ángel García Gutiérrez, Somolinos A.Fuentes:scopusProcessing of brain stem auditory evoked potential for improving diagnosis of multiple sclerosis
Conference ObjectAbstract: Expert doctors use the shape of the principal components of the Brain Stem Auditory Evoked PotentialPalabras claves:clustering methods, Health Sciences, Multiple Sclerosis, Neural networks, Radial Basis Functions, Signal processing, waveletsAutores:Ángel García GutiérrezFuentes:scopusThe PSO Algorithm and the Diagnosis of Multiple Sclerosis Using Artificial Neural Networks
Conference ObjectAbstract: Artificial neural networks with radial basis functions are used to diagnose patients with multiple sPalabras claves:Health Sciences, Multiple Sclerosis, Neural networks, Particle Swarm Optimization, Radial Basis Functions, Signal processing, waveletsAutores:Ángel García GutiérrezFuentes:scopusInfluence of wavelets and boundary conditions on the diagnosis of multiple sclerosis using artificial neural networks
Conference ObjectAbstract: Artificial neural networks with radial basis functions are used to diagnose patients with multiple sPalabras claves:boundary conditions, Health Sciences, Multiple Sclerosis, Neural networks, Radial Basis Functions, Signal processing, waveletsAutores:Ángel García GutiérrezFuentes:scopusUsing a combination of artificial neural networks for the diagnosis of multiple sclerosis
Conference ObjectAbstract: Very often the number of data available in the average clinical study of a disease is small. This isPalabras claves:Functional link architecture, Health Sciences, Multiple Sclerosis, Neural networks, Radial Basis Functions, Signal processing, waveletsAutores:Ángel García Gutiérrez, García C.Fuentes:scopusVisualization of hyperspectral images
Conference ObjectAbstract: Hyperspectral images provide an innovative means for visualizing information about a scene or objectPalabras claves:Color composite images, Efficient data display, Feature Extraction, Hyperspectral images, Spectral signature, waveletsAutores:Ángel García Gutiérrez, Bonce R., Robila S., Schockling M.Fuentes:scopus