"Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.
Johann M.Ph. Schumann Applications of Neural Networks in High Assurance Systems (Studies in Computational Intelligence) (Volume 268) free
Applications of Neural Networks in High Assurance Systems (Studies in Computational Intelligence) (Volume 268) pdf
Applications of Neural Networks in High Assurance Systems (Studies in Computational Intelligence) (Volume 268) download
Applications of Neural Networks in High Assurance Systems (Studies in Computational Intelligence) (Volume 268) reviews
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