CS-702 (A) RGPV B.Tech
Computational Intelligence (CI)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
1 paper, latest Nov 2023
Syllabus, notes and important questions for CS-702 (A)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Computational Intelligence 7 topics
- Types of Computational Intelligence
- Components of Computational Intelligence
- Concept of Learning/Training model
- Parametric Models
- Non‑parametric Models
- Multilayer Networks – Feed‑forward network
- Multilayer Networks – Feedback network
Unit 2 Fuzzy Systems 9 topics
- Fuzzy set theory – fuzzy sets and operations
- Membership functions
- Fuzzy relations and their composition
- Fuzzy measures
- Fuzzy logic – fuzzy rules and inferencing
- Fuzzy control – selection of membership functions
- Fuzzification
- Rule‑based design & inferencing
- Defuzzification
Unit 3 Genetic Algorithms 9 topics
- Basic genetics and concepts
- Working principle of genetic algorithms
- Creation of offsprings
- Encoding schemes
- Fitness function design
- Selection functions
- Genetic operators – reproduction, crossover, mutation
- Genetic modeling
- Benefits of genetic algorithms
Unit 4 Rough Set Theory and Related Models 7 topics
- Introduction to rough set theory
- Fundamental concepts of rough sets
- Set approximation
- Rough membership
- Attributes and optimization in rough sets
- Hidden Markov Models
- Decision tree model
Unit 5 Swarm Intelligence 6 topics
- Introduction to swarm intelligence
- Ant Colony Optimization
- Particle Swarm Optimization
- Bee Colony Optimization
- Other swarm‑intelligence techniques
- Applications of computational intelligence