"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.
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