Description
INTRODUCTION
In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Intelligent systems are usually described by analogies with biological systems by, for example, looking at how human beings perform control tasks, recognize patterns, or make decisions. Such area is a fusion of systems and control, computer science and operations research.
Intelligent Control Seminar Report
Page Length : 40
Content :
- Introduction
- Techniques For Intelligent Control
- Fuzzy And Neural Control
- Tuning The Fuzzy Controllers
- Simulation
- Laboratory Test Beds
- Results
- Fuzzy Control
- Fuzzy Logic Basics
- Neuro Control
- Neural Network Foundation
- Basic Elements of A Neuron
- Network Architectures
- Training of Neural Networks
- Supervised Learning
- Unsupervised Learning
- Perceptron Model
- The Multilayer Perceptrons
- Hopfield Network
- Conclusion
- BibliogRaphy
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