Course11110561462 lectures
Soft Computing Techniques
Prof. Santimoy Kundu · IIT-ISM Dhanbad
Lectures
week-01
- Lec 01 Fuzzy Sets Fuzzy Membership Function Support Core Crossover points & Bandwidth of a Fuzzy set
- Lec 02 Fuzzy Sets and Membership Function Alpha-Cut of a Fuzzy Set Fuzzy subset & Scalar cardinality
- Lec 03 Fuzzy Sets & Membership funt. Fuzzy subset & Scalar cardinality Basic operations & Properties
- Lec 04 Fuzzy Sets and Membership functions ........ intersection etc. "
- Lec 05 Fuzzy Sets Membership functions Basic operations
week-02
- Lecture 06: Crisp Relation and Example Fuzzy Relation and operations
- Lec 07: Crisp relation and fuzzy relation Extension principle Fuzzy arithmetic numbers & operations
- Lec 08 Fuzzy relation and operations Fuzzy multi-valued logic Fuzzy implications
- Lec 09: Fuzzy relation and fuzzy implications Fuzzy multi-valued logic Defuzzification
- Lec 10: Defuzzification
week-03
- Lecture 11 : Fuzzy rules Generalised Modus Ponens Generalised Modus Tollens
- Lecture 12 : Fuzzy rules Fuzzy inference system
- Lecture 13 : Fuzzy inference system Mamdanis, Sugenos and Tsukamoto type inferences
- Lecture 14: Fuzzy inference systems with examples
- Lecture 15 : Numerical examples
week-04
- Lec 16 Introduction of Genetic Algorithm Darwin’s Principle
- Lec 17 Working principle and flow chart of Genetic Algorithm Important terms of Genetic Algorithm
- Lec 18 Working procedure of Genetic Algorithm Initial population of Genetic Algorithm
- Lec19: Basic Concepts of Genetic Algorithm Some encoding technique of Genetic Algorithm
- Lec 20 Working principle of Genetic Algorithm Population Set Encoding Techniques
week-05
- Lec 21 Selection operator Population diversity and Selection Pressure Exploration and Exploitation
- Lec 22 Population diversity and Selection Pressure Exploration and Exploitation Selection Methods
- Lec 23 Selection Methods and Crossover Techniques
- Lec 24 Selection Methods Crossover techniques Crossover Probability and Mutation Probability.
- Lecture 25: Crossover techniques
week-06
- Lecture 26: Numerical Examples by using Genetic Algorithm
- Lecture 27: Numerical Examples
- Lecture 28: Numerical Examples (contd.)
- Lecture 29: Numerical Examples (contd.)
- Lecture 30: Numerical Examples (contd.)
week-07
- Lec 31 Introduction of Multi-objective optimization
- Lec 32 Weighted Sum Method Epsilon-Constraint Method
- Lec 33 Weighted Distance Metric Method Lexicographic Ordering Method Reference point method
- Lec 34: Few Methods to solve problems of Multi-objective optimization
- Lec 35 Introduction of Multi objective GAsVEGA Method"
week-08
- Lec 36 Vector Optimized Evolution Strategy (VOES)Weight-Based Genetic Algorithm (WBGA)
- Lec 37 NSGA and NSGA-II
- Lec 38 Numerical examples by using NSGA-II
- Lec 39 Concepts on non-domination Ranking Crowding distance operator NSGA-II
- Lec 40 Introduction of SPEA and SPEA 2
week-09
- Lec 41: Introduction Rough Set theory
- Lec 42 Introduction Rough Set theory Indiscernibility Relation
- Lec 43 Indiscernibility Relation Lower Approximations Upper Approximations
- Lec 44 Lower Approximations Upper Approximations Boundary Regions
- Lec 45 Properties of Approximations and Basic classes of Rough Set theory with Numerical examples
week-10
- Lec 46 Rough membership function Dependency of Attributes
- Lec 47 Dependency of Attributes Reduct and Core
- Lec 48 Indispensable and Dispensable Attributes Reduct and Core
- Lec 49 Reduct and Core Discernibility Matrix and Function
- Lecture 50: Numerical examples of Discernibility Matrix and Function
week-11
- Lec 51 Some concepts on Rough set theory Introduction to Rule Generation
- Lec 52: Rule Generation based on Reduct and Core
- Lec 53 Some Problems of Rule Generations.
- Lec 54 Fuzzy-Rough Sets
- Lec 55 Some problems of Fuzzy-Rough sets
week-12
- Lec 56 Introduction to Artificial Neural Networks
- Lec 57 Numerical example of Backpropagation Algorithm
- Lec 58: Intelligent Systems Introduction to Neuro-Fuzzy system
- Lecture 59: Adaptive Neuro-Fuzzy Systems
- Lecture 60: Ant colony optimization techniques
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT-ISM Dhanbad
- Department
- Mathematics
- Teacher
- Prof. Santimoy Kundu
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Kharagpur.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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