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Syllabus / What will i learn?
Curriculum for this course
41 Lessons
00:00:00 Hours
What is Artificial Intelligence (AI)
7 Lessons
- Artificial Intelligence (AI)
- Importance of AI
- Approaches to AI
- Symbolic Reasoning System
- Rule based Systems
- Knowledge Representation
- Expert Systems
ANN APPLICATIONS TO ELECTRICAL SYSTEMS
6 Lessons
- INTRODUCTION
- ARTIFICIAL NEURAL NETWORK MODELING
- DIFFERENT TYPE OF ANN ARCHITECTURE
- ANN APPLICATIONS IN POWER SYSTEM
- Neural Networks in Control Engineering
- Pattern Recognition
Fuzzy logic
14 Lessons
- ADALINE and MADALINE Models
- INTRODUCTION
- Classical set
- Industrial Applications
- Concept of Fuzziness
- Fuzzy Sets
- Fuzzy Properties and Operations
- Properties of the operations with crisp sets and fuzzy sets
- Fuzzy Inferencing
- Fuzzification
- Defuzzification
- Membership Functions
- Fuzzy Rule Base
- Fuzzy Logic Controller Design
ARTIFICIAL NEURAL NETWORKS
12 Lessons
- ADVANTAGES
- Artificial Neural Network Terminologies
- ADVANTAGES
- LIMITATIONS OF ANN
- McCulloch Pitts Neuron Model
- Back Propagation (BP) Algorithm
- BUILDING BLOCKS OF ARTIFICAL NEURAL NETWORK
- Perceptron Networks
- Perceptron Learning
- Basics of ANN
- WORKING OF ANN
- ANN CHARACTERISTICS
FUZZY LOGIC APPLICATIONS TO ELECTRICAL SYSTEMS
2 Lessons
- Automatic Voltage Regulator
- Transient stability analysis
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