Da: HPB-Red, Dallas, TX, U.S.A.
EUR 150,85
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Aggiungi al carrellohardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 174,36
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Da: Best Price, Torrance, CA, U.S.A.
EUR 168,83
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 178,62
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 193,14
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 195,96
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 192,65
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Editore: John Wiley & Sons Inc, New York, 2017
ISBN 10: 1119223547 ISBN 13: 9781119223542
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 212,62
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 195,95
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 204,99
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Editore: John Wiley & Sons 2016-08-04, 2016
ISBN 10: 1119223547 ISBN 13: 9781119223542
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 210,18
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Da: Majestic Books, Hounslow, Regno Unito
EUR 227,78
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Editore: John Wiley & Sons Inc, New York, 2017
ISBN 10: 1119223547 ISBN 13: 9781119223542
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 195,98
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Books Puddle, New York, NY, U.S.A.
EUR 241,15
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 234,08
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Aggiungi al carrelloCondizione: New. Series: Performability Engineering Series. Num Pages: 250 pages. BIC Classification: TJ; UMZ; UYQN. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . .
Da: Revaluation Books, Exeter, Regno Unito
EUR 263,95
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Aggiungi al carrelloHardcover. Condizione: Brand New. 250 pages. 9.25x6.25x1.00 inches. In Stock.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 290,31
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Aggiungi al carrelloCondizione: New. Series: Performability Engineering Series. Num Pages: 250 pages. BIC Classification: TJ; UMZ; UYQN. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 231,57
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process is presented as well. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.
Editore: John Wiley & Sons Inc, New York, 2017
ISBN 10: 1119223547 ISBN 13: 9781119223542
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 303,75
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 251,21
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Aggiungi al carrelloHardcover. Condizione: Brand New. 250 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.