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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
Hoofdkenmerken
Auteur: Amezcua, Jonathan; Melin
Titel: New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
Uitgever: Springer International
ISBN: 9783319737720
ISBN boekversie: 9783319737737
Serie: SpringerBriefs in Applied Sciences and Technology
Editie: 1st ed. 2018
Land van oorsprong: Switzerland
Prijs: € 67.04
Verschijningsdatum: 15-02-2018
Bericht: Langere levertijd (2-3 weken)
Inhoudelijke kenmerken
Categorie: Information architecture
Geillustreerd: 12 Illustrations, color; 10 Illustrations, black and white
Technische kenmerken
Verschijningsvorm: Paperback / softback
Paginas: 73
Hoogte mm.: 235
Breedte mm.: 155
 

Inhoud:

In this book a new model for data classification was developed. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types ofsoil.
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