Description 1

Soft Computing Series
in this course you will get
1) 44 videos + Update will come before exams
2) Hand made Notes
3) Strategy to score good marks in soft computing (video will be out before final exams)

• Lecture1.1
  Importance of Soft Computing 09 min

Notes 8

• Lecture2.1
  INDEX
• Lecture2.2
  INTRODUCTION TO SOFT COMPUTING
• Lecture2.3
  ARTIFICIAL NEURAL NETWORKS
• Lecture2.4
  FUZZY SET THEORY
• Lecture2.5
  HYBRID SYSTEMS
• Lecture2.6
  INTRODUCTION TO OPTIMIZATION TECHNIQUES
• Lecture2.7
  GENETIC ALGORITHMS AND ITS APPLICATIONS
• Lecture2.8
  Soft Computing Handwritten Notes

Module 1 - INTRODUCTION TO SOFT COMPUTING 3

A complete introduction to Soft Computing in 3 videos.

• Lecture3.1
  Learning and Types of Learning 07 min
• Lecture3.2
  Soft computing vs Hard computing and Supervised learning vs Unsupervised Learning 10 min
• Lecture3.3
  Introduction to Soft Computing and Important Questions 10 min

Module 2 - ARTIFICIAL NEURAL NETWORKS 13

This is the module with maximum weightage and lengthy concepts & sums! 13 videos on ANN.

• Lecture4.1
  Derivation of Unipolar Continuous Function 07 min
• Lecture4.2
  Derivation of Bipolar Continuous Function 11 min
• Lecture4.3
  Self-Organizing Maps and KSOMs 10 min
• Lecture4.4
  Perceptron Learning (with solved example) 11 min
• Lecture4.5
  Back-propagation Network(with solved example) 19 min
• Lecture4.6
  Introduction to ANN and structure of ANN 06 min
• Lecture4.7
  Activation Functions in ANN (Discrete and Continuous) 04 min
• Lecture4.8
  Neural Network Architecture 05 min
• Lecture4.9
  Hebbs Network/Hebbian Learning (with solved example) 17 min
• Lecture4.10
  Linear Separability 04 min
• Lecture4.11
  Winners-Takes-All 05 min
• Lecture4.12
  Mc-Culloch-Pitts Neural Model 03 min
• Lecture4.13
  Learning vector quantization (LVQ) 05 min

Module 3 - FUZZY SET THEORY 9

9 videos on Fuzzy Logic in Soft Computing.

• Lecture5.1
  Introduction to Fuzzy Logic 05 min
• Lecture5.2
  Fuzzification and De-Fuzzification 07 min
• Lecture5.3
  Properties and Operation of Crisp and Fuzzy Sets 06 min
• Lecture5.4
  Crisp and Fuzzy Sets and Relations 11 min
• Lecture5.5
  Fuzzy Membership Function 08 min
• Lecture5.6
  Fuzzy Extension Principle 04 min
• Lecture5.7
  Lambda Cut and Alpha Cut 05 min
• Lecture5.8
  Max-Min Max-Product Fuzzy Composition (with solved example) 11 min
• Lecture5.9
  Mamdani Fuzzy Model (Fuzzy Controller) with Solved Example 33 min

Module 4 - HYBRID SYSTEMS 4

4 videos on Hybrid Systems

• Lecture6.1
  Introduction to Hybrid System 04 min
• Lecture6.2
  Neuro-Fuzzy System (Co-Operative and General NFS) 08 min
• Lecture6.3
  Fuzzy Inference System 07 min
• Lecture6.4
  ANFIS 09 min

Module 5 - INTRODUCTION TO OPTIMIZATION TECHNIQUES 7

7 videos about Optimization Techniques in Soft Computing

• Lecture7.1
  Optimization Techniques 08 min
• Lecture7.2
  Derivative-Free Optimization 06 min
• Lecture7.3
  Gradient Descent 07 min
• Lecture7.4
  Newton Method 05 min
• Lecture7.5
  Simulated Annealing 06 min
• Lecture7.6
  Random Search 03 min
• Lecture7.7
  Downhill Simplex Search 04 min

Module 6 - GENETIC ALGORITHMS AND ITS APPLICATIONS 8

8 videos on Genetic Algorithm in Soft Computing (There is some overlap with AI)

• Lecture8.1
  Introduction to Genetic Algorithm (GA), Advantages, Disadvantages and Applications 07 min
• Lecture8.2
  Simple Genetic Algorithm (SGA) 07 min
• Lecture8.3
  Inheritance, Bitwise & Shift Operators in GA 08 min
• Lecture8.4
  Selection in GA 06 min
• Lecture8.5
  Crossover in GA (Crossover Part 1) 11 min
• Lecture8.6
  PMX and PPX (Crossover Part 2) 09 min
• Lecture8.7
  Mutation in GA 03 hour
• Lecture8.8
  Replacement in GA 04 min

EXTRAS 1

• Lecture9.1
  Soft Computing VIVA QUESTIONS (PDF)