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.
Détails
- Date de publication
- Aug 5, 2024
- Langue
- English
- Catégorie
- Informatique & internet
- Copyright
- Tous droits réservés - Licence de copyright standard
- Contributeurs
- Par (auteur): Cesar Perez Lopez
Caractéristiques
- Format
Mots-clés
MATLABARTIFICIAL INTELLIGENCENEURAL NETWORKSMULTILAYER PERCEPTRONSOM KOHONENCOMPETITIVE NETWORKSSELF ORGANIZING MAP NETWORKSPATTERN RECOGNITIONAUTOENCODERSFUNCTION FITTING NETWORKSCLUSTERING NETWORKSTIME SERIES NETWORKSREGRESSION NETWORKSKOHONENSOMPATTERN RECOGNITION NETWORKSHOLFIELD NETWORKSRADIAL BASIS NETWORKS