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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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| Σειρά: | Studies in Computational Intelligence,
268 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
