NOC:Fuzzy Logic and Neural Networks - Study24x7

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# NOC:Fuzzy Logic and Neural Networks

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Fuzzy logic is a branch of machine intelligence that helps computers understand the variations that occur in the uncertain and vague world in which we exist. Fuzzy logic “manipulates” vague concepts such as “warm” or “going fast”, in such a manner that it helps design machines like air conditioners and speed control systems to move or switch from one set of control criteria to another.

• Total 8 Modules
• 42 Videos
• Published on 29 June, 2019

## WEEK 1

• Lecture 01: Introduction to Fuzzy Sets

30m
• Lecture 02: Introduction to Fuzzy Sets (Contd.)

30m
• Lecture 03: Introduction to Fuzzy Sets (Contd.)

30m
• Lecture 04: Introduction to Fuzzy Sets (Contd.)

26m
• Lecture 05: Introduction to Fuzzy Sets (Contd.)

33m
• Lecture 06: Introduction to Fuzzy Sets (Contd.)

29m

## WEEK 2

• Lecture 07: Applications of Fuzzy Sets

26m
• Lecture 08: Applications of Fuzzy Sets (Contd.)

28m
• Lecture 09: Applications of Fuzzy Sets (Contd.)

29m
• Lecture 10: Applications of Fuzzy Sets (Contd.)

24m
• Lecture 11: Applications of Fuzzy Sets (Contd.)

26m

## WEEK 3

• Lecture 12 : Applications of Fuzzy Sets (Contd.)

23m
• Lecture 13 : Applications of Fuzzy Sets (Contd.)

29m
• Lecture 14: Applications of Fuzzy Sets (Contd.)

24m
• Lecture 15: Applications of Fuzzy Sets (Contd.)

31m
• Lecture 16: Applications of Fuzzy Sets (Contd.)

24m

## WEEK 4

• Lectuer 17: Optimizationof Fuzzy Reasoning and Clustering Tool

30m
• Lecture 18: Optimizationof Fuzzy Reasoning and Clustering Tool (Contd.)

29m
• Lecture 19: Optimizationof Fuzzy Reasoning and Clustering Tool (Contd.)

34m
• Lecture 20: Optimizationof Fuzzy Reasoning and Clustering

37m

## WEEK 5

• Lecture 21: Some Examples of Neural Networks

32m
• Lecture 22: Some Examples of Neural Networks (Contd.)

32m
• Lecture 23: Some Examples of Neural Networks (Contd.)

32m
• Lecture 24: Some Examples of Neural Networks (Contd.)

26m
• Lecture 25: Some Examples of Neural Networks (Contd.)

36m
• Lecture 26: Some Examples of Neural Networks (Contd.)

14m

## WEEK 6

• Lecture 27: Some Examples of Neural Networks (Contd.)

26m
• Lecture 28: Some Examples of Neural Networks (Contd.)

36m
• Lecture 29: Some Examples of Neural Networks (Contd.)

19m
• Lecture 30: Some Examples of Neural Networks (Contd.)

16m

## WEEK 7

• Lecture 31: Optimal Designs of Neural Networks

32m
• Lecture 32: Optimal Designs of Neural Networks (Contd.)

25m
• Lecture 33: Neuro-Fuzzy System

29m
• Lecture 34: Neuro-Fuzzy System (Contd.)

27m
• Lecture 35: Neuro-Fuzzy System (Contd.)

32m
• Lecture 36: Neuro-Fuzzy System (Contd.)

24m

## WEEK 8

• Lecture 37: Concepts of Soft Computing and Expert Syste

33m
• Lecture 38: Concepts of Soft Computing and Expert Systems (Contd.)

30m
• Lecture 39: A Few Applications

36m
• Lecture 40: A Few Applications (Contd.)

26m
• Lecture 41: A Few Applications (Contd.)

34m
• Lecture 42: A Few Applications (Contd.)

24m

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