Applications of Neural Networks in High Assurance Systems

Download or read book Applications of Neural Networks in High Assurance Systems written by Johann M.Ph. Schumann and published by Springer Science & Business Media. This book was released on 2010-02-28 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.