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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Applications of Neural Networks in High Assurance Systems

Applications of Neural Networks in High Assurance Systems

Schumann, Johann M. Ph.
Liu, Yan

Hardcover

Series: Studies in Computational Intelligence, Book 268

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3642106897
ISBN13: 9783642106897
Publisher: Springer Nature
Published: Feb 28 2010
Pages: 248
Weight: 1.10
Height: 0.90 Width: 6.20 Depth: 9.20
Language: English

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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