Completed
Lecture 1 Introduction to soft computing
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Introduction to Soft Computing
Automatically move to the next video in the Classroom when playback concludes
- 1 Lecture 1 Introduction to soft computing
- 2 Lecture 2 : Introduction to Fuzzy Logic
- 3 Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functions
- 4 Lecture 4 : Fuzzy operations
- 5 Lecture 5 : Fuzzy relations
- 6 Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositions
- 7 Lecture 7 : Fuzzy implications
- 8 Lecture 8 : Fuzzy Inferences
- 9 Lecture 9 : Defuzzification techniques (Part-I)
- 10 Lecture 10 : Defuzzification Techniques (Part-I) (contd.)
- 11 Lecture 11 : Fuzzy logic controller
- 12 Lecture 12 : Fuzzy Logic Controller (Contd.)
- 13 Lecture 13 : Fuzzy logic controller (Cond.)
- 14 Lecture 14 : Concept of Genetic Algorithm
- 15 Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA Strategies
- 16 Lecture 16 : GA Operator : Encoding schemes
- 17 Lecture 17 : GA operator : encoding scheme (contd.)
- 18 Lecture 18 : GA Operator : Selection
- 19 Lecture 19 : GA Operator Selection (Contd.)
- 20 Lecture 20 : GA Operator: Crossover techniques
- 21 Lecture 21 : GA Operator : Crossover (Contd.)
- 22 Lecture 22 : GA Operator : Crossover (Contd.)
- 23 Lecture 23 : GA Operator : Mutation and others
- 24 Lecture 24 : Multi-objective optimization problem solving
- 25 Lecture 25 : Multi-objective optimization problem solving (Contd.)
- 26 Lecture 26 : Concept of domination
- 27 Lecture 27 : Non-Pareto based approaches to solve MOOPs
- 28 Lecture 28 : Non-Pareto based approaches to solve MOOPs (Contd.)
- 29 Lecture 29 : Pareto-Based approaches to solve MOOPs
- 30 Lecture 30 : Pareto-based approaches to solve MOOPs (contd..)
- 31 Lecture 31 : Pareto-based approach to solve MOOPs
- 32 Lecture 32 : Pareto-based approach to solve MOOPs (contd.)
- 33 Lecture 33 : Pareto-based approach to solve MOOPs (contd)
- 34 Lecture 34 : Introduction to Artificial Neural Network
- 35 Lecture 35 : ANN Architectures
- 36 Lecture 36 : Training ANNs
- 37 Lecture 37 : Training ANNs (Contd..)
- 38 Lecture 38 : Training ANNs (Contd..)
- 39 Lecture 39 : Training ANNs (Contd..)
- 40 Lecture 40 : Soft computing tools
