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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic - Couverture souple
Synopsis
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. 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 of soil. Both datasets show interesting features that makes them interesting for testing new classification methods.
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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319737724
ISBN 13 : 9783319737720
Neuf
Kartoniert / Broschiert
Vendeur : moluna, Greven, Allemagne
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New Classification Method Based on Modular Neural Networks With the Lvq Algorithm and Type-2 Fuzzy Logic
Edité par
Springer, 2018
ISBN 10 : 3319737724
ISBN 13 : 9783319737720
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic (SpringerBriefs in Applied Sciences and Technology)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
Edité par
Berlin Springer International Publishing Springer Feb 2018, 2018
ISBN 10 : 3319737724
ISBN 13 : 9783319737720
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. 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 of soil. Both datasets show interesting features that makes them interesting for testing new classification methods. 73 pp. Englisch. N° de réf. du vendeur 9783319737720
Quantité disponible : 2 disponible(s)
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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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PF. Etat : New. N° de réf. du vendeur 6666-IUK-9783319737720
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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
Edité par
Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10 : 3319737724
ISBN 13 : 9783319737720
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. 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. Both datasets show interesting features that makes them interesting for testing new classification methods. N° de réf. du vendeur 9783319737720
Quantité disponible : 2 disponible(s)
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New Classification Method Based on Modular Neural Networks With the Lvq Algorithm and Type-2 Fuzzy Logic
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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic (SpringerBriefs in Applied Sciences and Technology)
Vendeur : California Books, Miami, FL, Etats-Unis
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New Classification Method Based on Modular Neural Networks With the Lvq Algorithm and Type-2 Fuzzy Logic
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic (SpringerBriefs in Applied Sciences and Technology)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 81. N° de réf. du vendeur 26381163863
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