Index 15

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

• Lecture1.1
  Learning and Types of Learning C 07 min
• Lecture1.2
  Soft computing vs Hard computing and Supervised learning vs Unsupervised Learning 10 min
• Lecture1.3
  Derivation of Unipolar Continuous Function. 07 min
• Lecture1.4
  Derivation of Bipolar Continuous Function 11 min
• Lecture1.5
  Self Organizing Maps and KSOMs 10 min
• Lecture1.6
  Perceptron Learning (with solved example) 11 min
• Lecture1.7
  Backpropagation Network (with solved example) 19 min
• Lecture1.8
  Introduction to ANN and structure of ANN 06 min
• Lecture1.9
  Activation functions in ANN (Discrete and Continuous) 04 min
• Lecture1.10
  Neural Network Architecture 05 min
• Lecture1.11
  Hebbs Network/Hebbian Learning (with solved example) 17 min
• Lecture1.12
  Linear Separability 04 min
• Lecture1.13
  Winners-Takes-All 05 min
• Lecture1.14
  Mc-Culloch-Pitts Neural Model 03 min
• Lecture1.15
  Linear Vector Quantization (LVQs) 05 min

FUZZY Logic 13

9 videos on Fuzzy Logic in Soft Computing.

• Lecture2.1
  Introduction to Fuzzy Logic 05 min
• Lecture2.2
  Fuzzification and De-Fuzzification 07 min
• Lecture2.3
  Properties and Operation of Crisp and Fuzzy Sets 06 min
• Lecture2.4
  Crisp and Fuzzy Sets and Relations 11 min
• Lecture2.5
  Fuzzy Membership Function 08 min
• Lecture2.6
  Fuzzy Extension Principle 04 min
• Lecture2.7
  Lambda Cut/Alpha Cut 05 min
• Lecture2.8
  Max-Min Max-Product Fuzzy Composition (with solved example) 11 min
• Lecture2.9
  Mamdani Fuzzy Model (Fuzzy Controller) with Solved Example 33 min
• Lecture2.10
  Intro to Hybrid Systems 04 min
• Lecture2.11
  Neuro-Fuzzy System (Co-Operative and General NFS) 08 min
• Lecture2.12
  Fuzzy Inference System 07 min
• Lecture2.13
  ANFIS 09 min

Notes 3

• Lecture3.1
  INDEX
• Lecture3.2
  Full NOTES
• Lecture3.3
  FULL NOTES PART 2 ( Handmade )

Viva Questions 1

• Lecture4.1
  VIVA QUESTIONS (PDF)