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1. General Concepts on the Systems
2. Artificial Neurons and Mathematical Modelling
3. Neural Network Topologies
4. Information flow in the neural network topology
5. Back propagation algorithm
6. Recurrent Neural networks.
7. Linear Stochastic Models
8. Recurrent Neural Network models for the stochastic models
9. Classical PID controller.
10. Self Tuning Neuro-Controller Design
11. Direct use of the neuro Controllers
12. Sensor/ system Validation with Neural Nets
13. Fault Detection with Neural Networks |