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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks

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Methods and Procedures for the Verification and Validation of Artificial Neural Networks (Hardcover, 2006 ed.) Loot Price: R1,706

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Methods and Procedures for the Verification and Validation of Artificial Neural Networks (Hardcover, 2006 ed.): Brian J. Taylor

Methods and Procedures for the Verification and Validation of Artificial Neural Networks (Hardcover, 2006 ed.)

Brian J. Taylor

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List price ~~R3,623~~ Loot Price R1,706 Discovery Miles 17 060 | Repayment Terms: R160 pm x 12* You Save R1,917 (53%)

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Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications.

Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	November 2005
First published:	2006
Editors:	Brian J. Taylor
Dimensions:	235 x 156 x 17mm (L x W x T)
Format:	Hardcover
Pages:	278
Edition:	2006 ed.
ISBN-13:	978-0-387-28288-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	0-387-28288-2
Barcode:	9780387282886