Machine learning classifiers &Classifier ensample

Name: Machine learning classifiers &Classifier ensample
Brand: LAP LAMBERT Academic Publishing
SKU: 9786206845867
Price: 866 CZK
Availability: InStock

Autor: Rania Ibrahim, Asmaa Mandouh

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP LAMBERT Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

866 Kč

There are an emergent machine learning(ML) algorithms to classify land-cover and land-use. In this b...

Informace o knize

Autor

Rania Ibrahim, Asmaa Mandouh

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2023

Stránek

EAN

9786206845867

ISBN

6206845869

Enbook ID

44618565

Vydavatel

LAP LAMBERT Academic Publishing

Hmotnost

Rozměry

150 x 220 x 4

Kompletní popis

There are an emergent machine learning(ML) algorithms to classify land-cover and land-use. In this book we focus on the relatively mature methods (seven methods) support vector (SVM) machines, decision trees (DTs), artificial neural networks, k-nearest neighbours (k-NN), naïve Bayes, Boosting and Random forest (RF).Accurate and timely collection of urban land use and land cover information is crucial for many aspects of urban development and environment protection.Accurate land covers classification is challenging. Improving land cover classification is a hot topic. It is needed for many applications such as land use land cover mapping environmental monitoring, natural resource management, urban planning, and management and change detection. Then a number of ensample methods were studied to combine various classifiers.

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Machine learning classifiers &Classifier ensample

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Kompletní popis

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Zákaznicí kteří koupili tuto knihu koupili také