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Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por LAP Lambert Academic Publishing 2012-03, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: Chiron Media, Wallingford, Reino Unido
Libro
PF. Condición: New.
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Libro
Condición: New.
Publicado por LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Libro Impresión bajo demanda
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ganatra AmitProf. Amit P. Ganatra is concurrently holding Associate Professor (Jan 2010 till date), Headship in Computer Engineering Department at C.S.P.I.T., CHARUSAT and Deanship in Faculty of Technology-CHARUSAT, Gujarat and he is.
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848419939ISBN 13: 9783848419937
Librería: Mispah books, Redhill, SURRE, Reino Unido
Libro
Paperback. Condición: Like New. Like New. book.