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
+ View more
Description
You need online training / explanation for this course?
1 to 1 Online Training contact instructor for demo :
+ View more
Other related courses
Updated Wed, 22-Apr-2020
Updated Wed, 24-Feb-2021
Updated Wed, 22-Apr-2020
Updated Thu, 30-Apr-2020
About the instructor
- 0 Reviews
- 3 Students
- 23 Courses
Student feedback
Reviews
Write a public review