Curriculum
- 9 Sections
- 54 Lessons
- 48 Weeks
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- DescriptionSoft 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)1 - Notes8
- Module 1 - INTRODUCTION TO SOFT COMPUTINGA complete introduction to Soft Computing in 3 videos.3
- Module 2 - ARTIFICIAL NEURAL NETWORKSThis is the module with maximum weightage and lengthy concepts & sums! 13 videos on ANN.13
- 4.1Derivation of Unipolar Continuous Function7 Minutes
- 4.2Derivation of Bipolar Continuous Function11 Minutes
- 4.3Self-Organizing Maps and KSOMs10 Minutes
- 4.4Perceptron Learning (with solved example)11 Minutes
- 4.5Back-propagation Network(with solved example)19 Minutes
- 4.6Introduction to ANN and structure of ANN6 Minutes
- 4.7Activation Functions in ANN (Discrete and Continuous)4 Minutes
- 4.8Neural Network Architecture5 Minutes
- 4.9Hebbs Network/Hebbian Learning (with solved example)17 Minutes
- 4.10Linear Separability4 Minutes
- 4.11Winners-Takes-All5 Minutes
- 4.12Mc-Culloch-Pitts Neural Model3 Minutes
- 4.13Learning vector quantization (LVQ)5 Minutes
- Module 3 - FUZZY SET THEORY9 videos on Fuzzy Logic in Soft Computing.9
- 5.1Introduction to Fuzzy Logic5 Minutes
- 5.2Fuzzification and De-Fuzzification7 Minutes
- 5.3Properties and Operation of Crisp and Fuzzy Sets6 Minutes
- 5.4Crisp and Fuzzy Sets and Relations11 Minutes
- 5.5Fuzzy Membership Function8 Minutes
- 5.6Fuzzy Extension Principle4 Minutes
- 5.7Lambda Cut and Alpha Cut5 Minutes
- 5.8Max-Min Max-Product Fuzzy Composition (with solved example)11 Minutes
- 5.9Mamdani Fuzzy Model (Fuzzy Controller) with Solved Example33 Minutes
- Module 4 - HYBRID SYSTEMS4 videos on Hybrid Systems4
- Module 5 - INTRODUCTION TO OPTIMIZATION TECHNIQUES7 videos about Optimization Techniques in Soft Computing7
- Module 6 - GENETIC ALGORITHMS AND ITS APPLICATIONS8 videos on Genetic Algorithm in Soft Computing (There is some overlap with AI)8
- 8.1Introduction to Genetic Algorithm (GA), Advantages, Disadvantages and Applications7 Minutes
- 8.2Simple Genetic Algorithm (SGA)7 Minutes
- 8.3Inheritance, Bitwise & Shift Operators in GA8 Minutes
- 8.4Selection in GA6 Minutes
- 8.5Crossover in GA (Crossover Part 1)11 Minutes
- 8.6PMX and PPX (Crossover Part 2)9 Minutes
- 8.7Mutation in GA3 Hours
- 8.8Replacement in GA4 Minutes
- EXTRAS1