Titlebook: Methods and Procedures for the Verification and Validation of Artificial Neural Networks; Brian J. Taylor Book 2006 Springer-Verlag US 200

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ing 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..978-1-4419-3935-7978-0-387-29485-8

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Book 2006roduces 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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Spiro T. Skiasitative estimates, post-quantum calculus, integral operators, univariate Gruss-type inequalities for positive linear operators, bivariate operators of discrete and integral type, convergence of GBS operators..?.978-3-030-06374-0978-3-319-92165-5Series ISSN 1931-6828 Series E-ISSN 1931-6836

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Brian J. Taylor,James T. Smithitative estimates, post-quantum calculus, integral operators, univariate Gruss-type inequalities for positive linear operators, bivariate operators of discrete and integral type, convergence of GBS operators..?.978-3-030-06374-0978-3-319-92165-5Series ISSN 1931-6828 Series E-ISSN 1931-6836

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James T. Smithturn to more complicated situations where the existence result cannot be used trivially, and discuss the computational methods that are available to check the criterion in practice using optimization software. It turns out that in suffices to solve a linear program (LP) when the problem is bi-dimens