Imagen del editor
Imagen no disponible

Classification Optimization to Evaluate the Fitness of an Algorithm (Paperback)

Amit Ganatra

ISBN 10: 3848419939 / ISBN 13: 9783848419937
Editorial: LAP Lambert Academic Publishing, Germany, 2012
Nuevos Condición: New Encuadernación de tapa blanda
Guardar para más tarde
Librería: The Book Depository EURO (London, Reino Unido)

Librería en AbeBooks desde: 29 de abril de 2014 Valoración librería Valoración 3 estrellas

Cantidad disponible: 1
Comprar nuevo
Precio: EUR 73,49 Convertir moneda
Gastos de envío: EUR 3,60 De Reino Unido a Estados Unidos de America Destinos, gastos y plazos de envío
Añadir al carrito
Guardar para más tarde

Descripción

Language: English . Brand New Book. In classifying large data set, efficiency and scalability are main issues. Advantages of neural networks include their high tolerance to noisy data, as well as their ability to classify patterns on which they have not been trained. Neural networks are a good choice for most classification and prediction tasks. The necessary complexity of neural networks is one of the most interesting problems in the research. One of the challenges in training MLP is in optimizing weight changes. Advances are introduced in traditional Back Propagation (BP) algorithm, to overcome its limitations. One method is to hybrid GA with BP to optimize weight changes.The objective here is to develop a data classification algorithm that will be used as a general-purpose classifier. To classify any database first, it is required to train the model. The proposed training algorithm used here is a Hybrid BP-GA. After successful training user can give unlabeled data to classify. N° de ref. de la librería KNV9783848419937

Hacer una pregunta a la librería

Detalles bibliográficos

Título: Classification Optimization to Evaluate the ...

Editorial: LAP Lambert Academic Publishing, Germany

Año de publicación: 2012

Encuadernación: Paperback

Condición del libro: New

Edición: Aufl.

Acerca de

Reseña del editor:

In classifying large data set, efficiency and scalability are main issues. Advantages of neural networks include their high tolerance to noisy data, as well as their ability to classify patterns on which they have not been trained. Neural networks are a good choice for most classification and prediction tasks. The necessary complexity of neural networks is one of the most interesting problems in the research. One of the challenges in training MLP is in optimizing weight changes. Advances are introduced in traditional Back Propagation (BP) algorithm, to overcome its limitations. One method is to hybrid GA with BP to optimize weight changes.The objective here is to develop a data classification algorithm that will be used as a general-purpose classifier. To classify any database first, it is required to train the model. The proposed training algorithm used here is a Hybrid BP-GA. After successful training user can give unlabeled data to classify.

"Sobre este título" puede pertenecer a otra edición de este libro.

Descripción de la librería

The Book Depository - bookdepository.com - is the UK's largest dedicated online bookseller offering the largest range of titles in the world, available for dispatch within 48 hours. Founded in 2004 to make 'All Books To All' we focus on selling 'less of more' rather than 'more of less', differentiating ourself from other retailers who increasingly focus on bestsellers. All books available to All Currently, The Book Depository is able to ship over 4 million unique titles, within 48 hours, from our fulfillment centre in Gloucester, United Kingdom. This figure is increasing everyday. Apart from publishers, distributors and wholesalers, we even list and supply books from other retailers!

Ver la página web de la librería

Condiciones de venta:

All books are shipped in New condition promptly, we are
happy to accept returns up to 30 days from purchase. Orders
usually ship within 1-2 business days. Domestic Shipments
are sent by Royal Mail, and International by Priority
Airmail. We are happy to accept returns up to 30 days from
purchase.

¿ Name of business : The Book Depository Ltd
¿ Form of legal entity : A Limited Company
¿ Business address: The Book Depository, Thames Central, Hatfield Road,
Slough, Berkshire, SL1 1QE
¿ Email address:...

Más información
Condiciones de envío:

Orders usually ship within 1-2 business days. Domestic Shipments are sent by Royal
Mail, and International by Priority Airmail. Orders usually ship within 1-2
business days. Domestic Shipments are sent by Royal Mail, and International by
Priority Airmail. We are happy to accept returns up to 30 days from purchase.
Please contact the seller directly if you wish to return an order.

Todos los libros de esta librería

Métodos de pago
aceptados por la librería

Visa Mastercard American Express Carte Bleue