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Applications of Neural Networks in High Assurance Systems

"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 ki...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Schumann, Johann M.Ph (Editor ), Liu, Yan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Studies in Computational Intelligence, 268
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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
  • Design and Flight Test of an Intelligent Flight Control System
  • 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
  • Erratum to: Network Complexity Analysis of Multilayer Feedforward Artificial Neural Networks.