VISUAL TOOLS IN ARTIFICIAL INTELLIGENCE. NEURAL NETWORKS FOR FUNCTIONS FITTING, CLUSTER DATA, CLASSIFY PATTERNS, AND TIME SERIES FORECASTING. Examples with Matlab
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This book delves into the visual tools for working with neural networks in Matlab, with a view to using them in Artificial Intelligence applications to extract the knowledge contained in the data.These tools provide a convenient way to access the capabilities of the toolbox for the following tasks: Function Fitting, Pattern Recognition, Data Clustering, Regression Models, and Time Series Analysis.
Detalles
- Fecha de publicación
- Aug 5, 2024
- Idioma
- English
- Categoría
- Computadoras y tecnología
- Copyright
- Todos los derechos reservados - Licencia estándar de copyright
- Contribuyentes
- Por (autor o autora): Cesar Perez Lopez
Especificaciones
- Formato
Palabras clave
MATLABARTIFICIAL INTELLIGENCENEURAL NETWORKSMULTILAYER PERCEPTRONSOM KOHONENCOMPETITIVE NETWORKSSELF ORGANIZING MAP NETWORKSPATTERN RECOGNITIONAUTOENCODERSFUNCTION FITTING NETWORKSCLUSTERING NETWORKSTIME SERIES NETWORKSREGRESSION NETWORKSKOHONENSOMPATTERN RECOGNITION NETWORKSHOLFIELD NETWORKSRADIAL BASIS NETWORKS