Applications of neural networks in high assurancesystems

'Applications of Neural Networks in High Assurance Systems' is the first bookdirectly 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 newadaptive 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." State of the art of Neural Networks in real-world, safety-critical systems Presents Neural Network applications in safety related areas, ranging from aerospace industry and steam power turbines to the automotive industry Provides a better understanding of the practical requirements for developing and deploying neuro-adaptive systems INDICE: 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.

• ISBN: 978-3-642-10689-7
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 280
• Fecha Publicación: 01/01/2010
• Nº Volúmenes: 1
• Idioma: Inglés