Applications of Neural Networks in High Assurance Systems

Johann M.Ph. Schumann, Yan Liu (Herausgeber)

Buch | Softcover

XVI, 248 Seiten

2012
Springer Berlin (Verlag)
978-3-642-26269-2 (ISBN)

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This is the first book to directly address a key part of neural network technology: state-of-the-art methods used to pass the tough verification and validation standards required in many safety-critical applications.

"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.

Application of Neural Networks in High Assurance Systems: A Survey.- Robust Adaptive Control Revisited: Semi-Global Boundedness and Margins.- Network Complexity Analysis of Multilayer Feedforward Artificial Neural Networks.- Stability, Convergence, and Verification and Validation Challenges of Neural Net Adaptive Flight Control.- Dynamic Allocation in Neural Networks for Adaptive Controllers.- Immune Systems Inspired Approach to Anomaly Detection, Fault Localization and Diagnosis in Automotive Engines.- Pitch-Depth Control of Submarine Operating in Shallow Water via Neuro-adaptive Approach.- Stick-Slip Friction Compensation Using a General Purpose Neuro-Adaptive Controller with Guaranteed Stability.- Modeling of crude oil blending via discrete-time neural Networks.- Adaptive Self-Tuning Wavelet Neural Network Controller for a Proton Exchange Membrane Fuel Cell.

Erscheint lt. Verlag	4.5.2012
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XVI, 248 p. 99 illus.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	404 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
Themenwelt	Technik
Schlagworte	Aerospace • Artificial Neural Network • Automotive Industry • Calculus • Complexity • Computational Intelligence • Control • convergence • High Assurance Systems • Intelligence • Modeling • neural network • Neural networks • Safety • Safety-Critical Systems • verification • Wavelet
ISBN-10	3-642-26269-4 / 3642262694
ISBN-13	978-3-642-26269-2 / 9783642262692
Zustand	Neuware