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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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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.