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Course10610517342 lectures

Introduction To Soft Computing

Prof. Debasis Samanta · IIT Kharagpur

Start with lecture 1 At NPTEL

Lectures

Week 1

  1. Lecture 1 Introduction to soft computing Video
  2. Lecture 2 : Introduction to Fuzzy Logic Video
  3. Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functions Video
  4. Lecture 4 : Fuzzy operations Video
  5. Lecture 5 : Fuzzy relations Video

Week 2

  1. Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositions Video
  2. Lecture 7 : Fuzzy implications Video
  3. Lecture 8 : Fuzzy Inferences Video
  4. Lecture 9 : Defuzzification techniques (Part-I) Video
  5. Lecture 10 : Defuzzification Techniques (Part-I) (contd.) Video

Week 3

  1. Lecture 11 : Fuzzy logic controller Video
  2. Lecture 12 : Fuzzy Logic Controller (Contd.) Video
  3. Lecture 13 : Fuzzy logic controller (Cond.) Video
  4. Lecture 14 : Concept of Genetic Algorithm Video
  5. Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA Strategies Video

Week 4

  1. Lecture 16 : GA Operator : Encoding schemes Video
  2. Lecture 17 : GA operator : encoding scheme (contd.) Video
  3. Lecture 18 : GA Operator : Selection Video
  4. Lecture 19 : GA Operator Selection (Contd.) Video
  5. Lecture 20 : GA Operator: Crossover techniques Video

Week 5

  1. Lecture 21 : GA Operator : Crossover (Contd.) Video
  2. Lecture 22 : GA Operator : Crossover (Contd.) Video
  3. Lecture 23 : GA Operator : Mutation and others Video
  4. Lecture 24 : Multi-objective optimization problem solving Video
  5. Lecture 25 : Multi-objective optimization problem solving (Contd.) Video

Week 6

  1. Lecture 26 : Concept of domination Video
  2. Lecture 27 : Non-Pareto based approaches to solve MOOPs Video
  3. Lecture 28 : Non-Pareto based approaches to solve MOOPs (Contd.) Video
  4. Lecture 29 : Pareto-Based approaches to solve MOOPs Video
  5. Lecture 30 : Pareto-based approaches to solve MOOPs (contd..) Video

Week 7

  1. Lecture 31 : Pareto-based approach to solve MOOPs Video
  2. Lecture 32 : Pareto-based approach to solve MOOPs (contd.) Video
  3. Lecture 33 : Pareto-based approach to solve MOOPs (contd) Video
  4. Lecture 34 : Introduction to Artificial Neural Network Video
  5. Lecture 35 : ANN Architectures Video

Week 8

  1. Lecture 36 : Training ANNs Video
  2. Lecture 37 : Training ANNs (Contd..) Video
  3. Lecture 38 : Training ANNs (Contd..) Video
  4. Lecture 39 : Training ANNs (Contd..) Video
  5. Lecture 40 : Soft computing tools Video

Live Session

  1. Live Session 12-03-2021 Video
  2. Live Session 17-03-2020 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Kharagpur
Department
Computer Science and Engineering
Teacher
Prof. Debasis Samanta
Level
Undergraduate
Language
English
Subjects
Computer science, Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
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