bokomslag Applications of Neural Networks in High Assurance Systems
Data & IT

Applications of Neural Networks in High Assurance Systems

Johann M Ph Schumann Yan Liu

Inbunden

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  • 248 sidor
  • 2010
"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.
  • Författare: Johann M Ph Schumann, Yan Liu
  • Format: Inbunden
  • ISBN: 9783642106897
  • Språk: Engelska
  • Antal sidor: 248
  • Utgivningsdatum: 2010-02-28
  • Förlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K