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Methods Procedures Verification Validation by Brian Taylor (40 results)
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Add to basketCondition: New. pp. 296 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks
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Methods And Procedures for the Verification And Validation of Artificial Neural Networks
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Methods And Procedures for the Verification And Validation of Artificial Neural Networks
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks
Published by Springer-Verlag New York Inc., 2005
ISBN 10: 0387282882 ISBN 13: 9780387282886
Language: English
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks
Published by Springer Us Nov 2005, 2005
ISBN 10: 0387282882 ISBN 13: 9780387282886
Language: English
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Add to basketBuch. Condition: Neu. Neuware -Artificial neural networks are a form of artificial intelligence that have the capability of learning, growing, and adapting with dynamic environments. With the ability to learn and adapt, artificial neural networks introduce new potential solutions and approaches to some of the more challenging problems that the United States faces as it pursues the vision of space exploration and develops other system applications that must change and adapt after deployment.
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Condition: New. pp. 292.
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks
Published by Springer Us Nov 2005, 2005
ISBN 10: 0387282882 ISBN 13: 9780387282886
Language: English
US$ 130.27
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Add to basketBuch. Condition: Neu. Neuware - 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.
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US$ 132.88
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
