# Introduction To Soft Computing

- Institution: IIT Kharagpur
- Department: Computer Science and Engineering
- Teacher: Prof. Debasis Samanta
- Level: Undergraduate
- Language: English
- Subjects: Computer science, Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/106105173)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/106105173)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lecture 1 Introduction to soft computing](https://invisiblenetwork.ai/learn/nptel/106105173/758253acc60c) (Video)
2. [Lecture 2 : Introduction to Fuzzy Logic](https://invisiblenetwork.ai/learn/nptel/106105173/615deceae9ee) (Video)
3. [Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functions](https://invisiblenetwork.ai/learn/nptel/106105173/f0e4dd9aedca) (Video)
4. [Lecture 4 : Fuzzy operations](https://invisiblenetwork.ai/learn/nptel/106105173/ee02fc72b3cd) (Video)
5. [Lecture 5 : Fuzzy relations](https://invisiblenetwork.ai/learn/nptel/106105173/f4b5f89a0262) (Video)
6. [Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositions](https://invisiblenetwork.ai/learn/nptel/106105173/d64c4e5f43d7) (Video)
7. [Lecture 7 : Fuzzy implications](https://invisiblenetwork.ai/learn/nptel/106105173/f60b220d61a6) (Video)
8. [Lecture 8 : Fuzzy Inferences](https://invisiblenetwork.ai/learn/nptel/106105173/84cf04fa099d) (Video)
9. [Lecture 9 : Defuzzification techniques (Part-I)](https://invisiblenetwork.ai/learn/nptel/106105173/b71eea36c362) (Video)
10. [Lecture 10 : Defuzzification Techniques (Part-I) (contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/264deb8cb0e5) (Video)
11. [Lecture 11 : Fuzzy logic controller](https://invisiblenetwork.ai/learn/nptel/106105173/4ccda763b1c9) (Video)
12. [Lecture 12 : Fuzzy Logic Controller (Contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/14ba419cd013) (Video)
13. [Lecture 13 : Fuzzy logic controller (Cond.)](https://invisiblenetwork.ai/learn/nptel/106105173/504626f1b71c) (Video)
14. [Lecture 14 : Concept of Genetic Algorithm](https://invisiblenetwork.ai/learn/nptel/106105173/2a43ee67b320) (Video)
15. [Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA Strategies](https://invisiblenetwork.ai/learn/nptel/106105173/af0b92cbe0c4) (Video)
16. [Lecture 16 : GA Operator : Encoding schemes](https://invisiblenetwork.ai/learn/nptel/106105173/4ad56d995d50) (Video)
17. [Lecture 17 : GA operator : encoding scheme (contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/5e8750c60055) (Video)
18. [Lecture 18 : GA Operator : Selection](https://invisiblenetwork.ai/learn/nptel/106105173/6e11173fed0b) (Video)
19. [Lecture 19 : GA Operator Selection (Contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/85b6340beabe) (Video)
20. [Lecture 20 : GA Operator: Crossover techniques](https://invisiblenetwork.ai/learn/nptel/106105173/fe56a1d281d8) (Video)
21. [Lecture 21 : GA Operator : Crossover (Contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/6594a4ad44fd) (Video)
22. [Lecture 22 : GA Operator : Crossover (Contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/59c2362b2c6b) (Video)
23. [Lecture 23 : GA Operator : Mutation and others](https://invisiblenetwork.ai/learn/nptel/106105173/f147e29584cb) (Video)
24. [Lecture 24 : Multi-objective optimization problem solving](https://invisiblenetwork.ai/learn/nptel/106105173/645cc21bd700) (Video)
25. [Lecture 25 : Multi-objective optimization problem solving (Contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/c596635a05fb) (Video)
26. [Lecture 26 : Concept of domination](https://invisiblenetwork.ai/learn/nptel/106105173/b3cc503e9b50) (Video)
27. [Lecture 27 : Non-Pareto based approaches to solve MOOPs](https://invisiblenetwork.ai/learn/nptel/106105173/1e9457e9c9ee) (Video)
28. [Lecture 28 : Non-Pareto based approaches to solve MOOPs (Contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/051f92eb0f84) (Video)
29. [Lecture 29 : Pareto-Based approaches to solve MOOPs](https://invisiblenetwork.ai/learn/nptel/106105173/b3d8e1aa1841) (Video)
30. [Lecture 30 : Pareto-based approaches to solve MOOPs (contd..)](https://invisiblenetwork.ai/learn/nptel/106105173/7943b58a3231) (Video)
31. [Lecture 31 : Pareto-based approach to solve MOOPs](https://invisiblenetwork.ai/learn/nptel/106105173/a3067dba7c39) (Video)
32. [Lecture 32 : Pareto-based approach to solve MOOPs (contd.)](https://invisiblenetwork.ai/learn/nptel/106105173/b2d6bd0fb530) (Video)
33. [Lecture 33 : Pareto-based approach to solve MOOPs (contd)](https://invisiblenetwork.ai/learn/nptel/106105173/22172c4a2dbe) (Video)
34. [Lecture 34 : Introduction to Artificial Neural Network](https://invisiblenetwork.ai/learn/nptel/106105173/d6f9c4dcc775) (Video)
35. [Lecture 35 : ANN Architectures](https://invisiblenetwork.ai/learn/nptel/106105173/5dafe835eaeb) (Video)
36. [Lecture 36 : Training ANNs](https://invisiblenetwork.ai/learn/nptel/106105173/68389112da72) (Video)
37. [Lecture 37 : Training ANNs (Contd..)](https://invisiblenetwork.ai/learn/nptel/106105173/d3a2a0d4fb20) (Video)
38. [Lecture 38 : Training ANNs (Contd..)](https://invisiblenetwork.ai/learn/nptel/106105173/6235d47c3652) (Video)
39. [Lecture 39 : Training ANNs (Contd..)](https://invisiblenetwork.ai/learn/nptel/106105173/b414e574e1f7) (Video)
40. [Lecture 40 : Soft computing tools](https://invisiblenetwork.ai/learn/nptel/106105173/0215515e0e3b) (Video)
41. [Live Session 12-03-2021](https://invisiblenetwork.ai/learn/nptel/106105173/758253acc60c-2) (Video)
42. [Live Session 17-03-2020](https://invisiblenetwork.ai/learn/nptel/106105173/615deceae9ee-2) (Video)