AD-702 (C) 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 AD-702 (C)
- Syllabus Official RGPV syllabus Free
- Notes 5 documents Free
- Important Questions None for AD-702 (C) yet
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Computational Intelligence 8 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 10 topics
- Fuzzy set theory – fuzzy sets and operations
- Membership functions
- Fuzzy relations and their composition
- Fuzzy measures
- Fuzzy logic – fuzzy rules
- Fuzzy inference
- Fuzzy control – selection of membership functions
- Fuzzification
- Rule‑based design and inference
- Defuzzification
Unit 3 Genetic Algorithms 9 topics
- Basic genetics concepts
- Working principle of genetic algorithms
- Creation of offspring
- Encoding schemes
- Fitness function
- Selection functions
- Genetic operators – reproduction, crossover, mutation
- Genetic modelling
- Benefits of genetic algorithms
Unit 4 Rough Set Theory 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 Introduction to Swarm Intelligence 5 topics
- Swarm intelligence techniques – ant colony optimization
- Swarm intelligence techniques – particle swarm optimization
- Swarm intelligence techniques – bee colony optimization
- Other swarm‑based methods
- Applications of computational intelligence