Lecture 37 : Training ANNs (Contd..)
Introduction To Soft Computing - IITKGP
Lecture 37 : Training ANNs (Contd..)
29:29
Lecture 39 : Training ANNs (Contd..)
Introduction To Soft Computing - IITKGP
Lecture 39 : Training ANNs (Contd..)
25:59
Lecture 38 : Training ANNs (Contd..)
Introduction To Soft Computing - IITKGP
Lecture 38 : Training ANNs (Contd..)
27:19
Lecture 36 : Training ANNs
Introduction To Soft Computing - IITKGP
Lecture 36 : Training ANNs
26:15
Lecture 40 : Soft computing tools
Introduction To Soft Computing - IITKGP
Lecture 40 : Soft computing tools
29:45
Lecture 32 : Pareto-based approach to solve MOOPs (contd.)
Introduction To Soft Computing - IITKGP
Lecture 32 : Pareto-based approach to solve MOOPs (contd.)
23:17
Lecture 34 : Introduction to Artificial Neural Network
Introduction To Soft Computing - IITKGP
Lecture 34 : Introduction to Artificial Neural Network
28:57
Lecture 33 : Pareto-based approach to solve MOOPs (contd)
Introduction To Soft Computing - IITKGP
Lecture 33 : Pareto-based approach to solve MOOPs (contd)
26:42
Lecture 31 : Pareto-based approach to solve MOOPs
Introduction To Soft Computing - IITKGP
Lecture 31 : Pareto-based approach to solve MOOPs
30:07
Lecture 35 : ANN Architectures
Introduction To Soft Computing - IITKGP
Lecture 35 : ANN Architectures
32:10
Lecture 30 : Pareto-based approaches to solve MOOPs (contd..)
Introduction To Soft Computing - IITKGP
Lecture 30 : Pareto-based approaches to solve MOOPs (contd..)
29:51
Lecture 29 : Pareto-Based approaches to solve MOOPs
Introduction To Soft Computing - IITKGP
Lecture 29 : Pareto-Based approaches to solve MOOPs
24:49
Lecture 26 : Concept of domination
Introduction To Soft Computing - IITKGP
Lecture 26 : Concept of domination
22:36
Lecture 27 : Non-Pareto based approaches to solve MOOPs
Introduction To Soft Computing - IITKGP
Lecture 27 : Non-Pareto based approaches to solve MOOPs
34:33
Lecture 28 : Non-Pareto based approaches to solve MOOPs (Contd.)
Introduction To Soft Computing - IITKGP
Lecture 28 : Non-Pareto based approaches to solve MOOPs (Contd.)
26:01
Lecture 23 : GA Operator : Mutation and others
Introduction To Soft Computing - IITKGP
Lecture 23 : GA Operator : Mutation and others
32:13
Lecture 25 : Multi-objective optimization problem solving (Contd.)
Introduction To Soft Computing - IITKGP
Lecture 25 : Multi-objective optimization problem solving (Contd.)
32:26
Lecture 21 : GA Operator : Crossover (Contd.)
Introduction To Soft Computing - IITKGP
Lecture 21 : GA Operator : Crossover (Contd.)
28:29
Lecture 22 : GA Operator : Crossover (Contd.)
Introduction To Soft Computing - IITKGP
Lecture 22 : GA Operator : Crossover (Contd.)
31:00
Lecture 18 : GA Operator : Selection
Introduction To Soft Computing - IITKGP
Lecture 18 : GA Operator : Selection
28:26
Lecture 16 : GA Operator : Encoding schemes
Introduction To Soft Computing - IITKGP
Lecture 16 : GA Operator : Encoding schemes
32:17
Lecture 19 : GA Operator Selection (Contd.)
Introduction To Soft Computing - IITKGP
Lecture 19 : GA Operator Selection (Contd.)
30:58
Lecture 17 : GA operator : encoding scheme (contd.)
Introduction To Soft Computing - IITKGP
Lecture 17 : GA operator : encoding scheme (contd.)
25:39
Lecture 20 : GA Operator: Crossover techniques
Introduction To Soft Computing - IITKGP
Lecture 20 : GA Operator: Crossover techniques
32:22
Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA Strategies
Introduction To Soft Computing - IITKGP
Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA Strategies
33:33
Lecture 13 : Fuzzy logic controller (Cond.)
Introduction To Soft Computing - IITKGP
Lecture 13 : Fuzzy logic controller (Cond.)
27:37
Lecture 14 : Concept of Genetic Algorithm
Introduction To Soft Computing - IITKGP
Lecture 14 : Concept of Genetic Algorithm
29:47
Lecture 11 : Fuzzy logic controller
Introduction To Soft Computing - IITKGP
Lecture 11 : Fuzzy logic controller
30:29
Lecture 12 : Fuzzy Logic Controller (Contd.)
Introduction To Soft Computing - IITKGP
Lecture 12 : Fuzzy Logic Controller (Contd.)
31:33
Lecture 10 : Defuzzification Techniques (Part-I) (contd.)
Introduction To Soft Computing - IITKGP
Lecture 10 : Defuzzification Techniques (Part-I) (contd.)
32:59
Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositions
Introduction To Soft Computing - IITKGP
Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositions
28:33
Lecture 7 : Fuzzy implications
Introduction To Soft Computing - IITKGP
Lecture 7 : Fuzzy implications
29:36
Lecture 8 : Fuzzy Inferences
Introduction To Soft Computing - IITKGP
Lecture 8 : Fuzzy Inferences
22:31
Lecture 9 : Defuzzification techniques (Part-I)
Introduction To Soft Computing - IITKGP
Lecture 9 : Defuzzification techniques (Part-I)
26:09
Lecture 1 Introduction to soft computing
Introduction To Soft Computing - IITKGP
Lecture 1 Introduction to soft computing
24:54
Lecture 5 : Fuzzy relations
Introduction To Soft Computing - IITKGP
Lecture 5 : Fuzzy relations
30:33
Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functions
Introduction To Soft Computing - IITKGP
Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functions
30:37
Lecture 2 : Introduction to Fuzzy Logic
Introduction To Soft Computing - IITKGP
Lecture 2 : Introduction to Fuzzy Logic
30:48
Lecture 4 : Fuzzy operations
Introduction To Soft Computing - IITKGP
Lecture 4 : Fuzzy operations
28:48
Lecture 24 : Multi-objective optimization problem solving
Introduction To Soft Computing - IITKGP
Lecture 24 : Multi-objective optimization problem solving
33:10
Prof Debasis Samanta
Introduction To Soft Computing - IITKGP
Prof Debasis Samanta
7:58