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Sl.No Chapter Name MP4 Download
1Lecture 1 Introduction to soft computingDownload
2Lecture 2 : Introduction to Fuzzy LogicDownload
3Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functionsDownload
4Lecture 4 : Fuzzy operationsDownload
5Lecture 5 : Fuzzy relationsDownload
6Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositionsDownload
7Lecture 7 : Fuzzy implicationsDownload
8Lecture 8 : Fuzzy InferencesDownload
9Lecture 9 : Defuzzification techniques (Part-I)Download
10Lecture 10 : Defuzzification Techniques (Part-I) (contd.)Download
11Lecture 11 : Fuzzy logic controllerDownload
12Lecture 12 : Fuzzy Logic Controller (Contd.)Download
13Lecture 13 : Fuzzy logic controller (Cond.)Download
14Lecture 14 : Concept of Genetic AlgorithmDownload
15Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA StrategiesDownload
16Lecture 16 : GA Operator : Encoding schemesDownload
17Lecture 17 : GA operator : encoding scheme (contd.)Download
18Lecture 18 : GA Operator : SelectionDownload
19Lecture 19 : GA Operator Selection (Contd.)Download
20Lecture 20 : GA Operator: Crossover techniquesDownload
21Lecture 21 : GA Operator : Crossover (Contd.)Download
22Lecture 22 : GA Operator : Crossover (Contd.)Download
23Lecture 23 : GA Operator : Mutation and othersDownload
24Lecture 24 : Multi-objective optimization problem solvingDownload
25Lecture 25 : Multi-objective optimization problem solving (Contd.)Download
26Lecture 26 : Concept of dominationDownload
27Lecture 27 : Non-Pareto based approaches to solve MOOPsDownload
28Lecture 28 : Non-Pareto based approaches to solve MOOPs (Contd.)Download
29Lecture 29 : Pareto-Based approaches to solve MOOPsDownload
30Lecture 30 : Pareto-based approaches to solve MOOPs (contd..)Download
31Lecture 31 : Pareto-based approach to solve MOOPsDownload
32Lecture 32 : Pareto-based approach to solve MOOPs (contd.)Download
33Lecture 33 : Pareto-based approach to solve MOOPs (contd)Download
34Lecture 34 : Introduction to Artificial Neural NetworkDownload
35Lecture 35 : ANN ArchitecturesDownload
36Lecture 36 : Training ANNsDownload
37Lecture 37 : Training ANNs (Contd..)Download
38Lecture 38 : Training ANNs (Contd..)Download
39Lecture 39 : Training ANNs (Contd..)Download
40Lecture 40 : Soft computing toolsDownload

Sl.No Chapter Name English
1Lecture 1 Introduction to soft computingDownload
Verified
2Lecture 2 : Introduction to Fuzzy LogicDownload
Verified
3Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functionsDownload
Verified
4Lecture 4 : Fuzzy operationsDownload
Verified
5Lecture 5 : Fuzzy relationsDownload
Verified
6Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositionsDownload
Verified
7Lecture 7 : Fuzzy implicationsDownload
Verified
8Lecture 8 : Fuzzy InferencesDownload
Verified
9Lecture 9 : Defuzzification techniques (Part-I)Download
Verified
10Lecture 10 : Defuzzification Techniques (Part-I) (contd.)Download
Verified
11Lecture 11 : Fuzzy logic controllerDownload
Verified
12Lecture 12 : Fuzzy Logic Controller (Contd.)Download
Verified
13Lecture 13 : Fuzzy logic controller (Cond.)Download
Verified
14Lecture 14 : Concept of Genetic AlgorithmDownload
Verified
15Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA StrategiesDownload
Verified
16Lecture 16 : GA Operator : Encoding schemesDownload
Verified
17Lecture 17 : GA operator : encoding scheme (contd.)Download
Verified
18Lecture 18 : GA Operator : SelectionDownload
Verified
19Lecture 19 : GA Operator Selection (Contd.)Download
Verified
20Lecture 20 : GA Operator: Crossover techniquesDownload
Verified
21Lecture 21 : GA Operator : Crossover (Contd.)Download
Verified
22Lecture 22 : GA Operator : Crossover (Contd.)Download
Verified
23Lecture 23 : GA Operator : Mutation and othersDownload
Verified
24Lecture 24 : Multi-objective optimization problem solvingDownload
Verified
25Lecture 25 : Multi-objective optimization problem solving (Contd.)Download
Verified
26Lecture 26 : Concept of dominationDownload
Verified
27Lecture 27 : Non-Pareto based approaches to solve MOOPsDownload
Verified
28Lecture 28 : Non-Pareto based approaches to solve MOOPs (Contd.)Download
Verified
29Lecture 29 : Pareto-Based approaches to solve MOOPsDownload
Verified
30Lecture 30 : Pareto-based approaches to solve MOOPs (contd..)Download
Verified
31Lecture 31 : Pareto-based approach to solve MOOPsDownload
Verified
32Lecture 32 : Pareto-based approach to solve MOOPs (contd.)Download
Verified
33Lecture 33 : Pareto-based approach to solve MOOPs (contd)Download
Verified
34Lecture 34 : Introduction to Artificial Neural NetworkDownload
Verified
35Lecture 35 : ANN ArchitecturesDownload
Verified
36Lecture 36 : Training ANNsDownload
Verified
37Lecture 37 : Training ANNs (Contd..)Download
Verified
38Lecture 38 : Training ANNs (Contd..)Download
Verified
39Lecture 39 : Training ANNs (Contd..)Download
Verified
40Lecture 40 : Soft computing toolsDownload
Verified


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3GujaratiNot Available
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7MarathiNot Available
8TamilNot Available
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