selflearn/softcomputing.txt at master · the-code-teller/selflearn · GitHub

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Course 1: Introduction to Soft Computing

Teacher Name : Prof Debasis Samanta

Teacher Designation: Faculty member at the Department of Computer Science & Engineering at IIT Kharagpur.

Course Description:   I take this  opportunity to welcome you to the course Soft Computing. Soft computing is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision. Soft computing is based on some biological inspired methodologies such as genetics, evolution, ant’s behaviors, particles swarming, human nervous systems, etc. Now, soft computing is the only solution when we don’t have any mathematical modeling of problem solving (i.e., algorithm), need a solution to a complex problem in real time, easy to adapt with changed scenario and can be implemented with parallel computing. It has enormous applications in many application areas such as medical diagnosis, computer vision, hand written character recondition, pattern recognition, machine intelligence, weather forecasting, network optimization, VLSI design, etc.

Lectures:

Lecture 1: Introduction to Soft Computing
    Link : https://www.youtube.com/embed/K9gjuXjJeEM

Lecture 2: Introduction to Fuzzy Logic
   Link: https://www.youtube.com/embed/-U-QCX2C8T8

Lecture 3 : Fuzzy membership functions (Contd.) and Defining Membership functions
    Link: https://www.youtube.com/embed/whIR88tAANE

Lecture 4 : Fuzzy operations
    Link: https://www.youtube.com/embed/LZ6t6JShtKw

Lecture 5 : Fuzzy relations
    Link: https://www.youtube.com/embed/ToaI2MEC5x0

Lecture 6 : Fuzzy Relations (contd.) & Fuzzy propositions
    Link: https://www.youtube.com/embed/n3E4oVdJtO4

Lecture 7 : Fuzzy implications
    Link: https://www.youtube.com/embed/n9MTaa-rZr4

Lecture 8 : Fuzzy Inferences
    Link: https://www.youtube.com/embed/uTYepvHqdrA

Lecture 9 : Defuzzification techniques (Part-I)
    Link: https://www.youtube.com/embed/xwJDnnhl4RQ

Lecture 10 : Defuzzification Techniques (Part-I) (contd.)
   Link: https://www.youtube.com/embed/WebTnQacBYs

Lecture 11 : Fuzzy logic controller
   Link: https://www.youtube.com/embed/OnJRw2EP3_g

Lecture 12 : Fuzzy Logic Controller (Contd.)
   Link: https://www.youtube.com/embed/TSH2wm8xFKY

Lecture 13 : Fuzzy logic controller (Cond.)
   Link: https://www.youtube.com/embed/9ycFAAfZ75s

Lecture 14 : Concept of Genetic Algorithm
   Link: https://www.youtube.com/embed/Fs5ZIjp1hUk

Lecture 15 : Concept of Genetic Algorithm (Contd.) and GA Strategies
   Link: https://www.youtube.com/embed/-G0qHu7cHNo

Lecture 16 : GA Operator : Encoding schemes
   Link: https://www.youtube.com/embed/1BIXfoLzvxE

Lecture 17 : GA operator : encoding scheme (contd.)
   Link: https://www.youtube.com/embed/DjulSsaGRgc

Lecture 18 : GA Operator : Selection
    Link: https://www.youtube.com/embed/0Rn-sZ-D55g

Lecture 19 : GA Operator Selection (Contd.)
    Link: https://www.youtube.com/embed/1jGeHqnUA-A

Lecture 20 : GA Operator: Crossover techniques
    Link: https://www.youtube.com/embed/ZhfXXf7bnYE