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...
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | Electronic |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
|
| Series: | Studies in Computational Intelligence,
268 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-10690-3 |
Table of Contents:
- 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.