Книга: Applications of Neural Networks in High Assurance Systems (Studies in Computational Intelligence)

'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 ) 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 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.