Skip to content
CampusPrep
AD-702 (C) · Computational Intelligence/Unsolved PYQ Paper

AD-702 (C) Computational Intelligence - Nov 2023 Question Paper

  1. 7 Marks
    aExplain all the components of Computational with help of example.
  2. 7 Marks
    bExplain the working of Parametric Model and explain its application in statistics.
  3. 7 Marks
    aDesign Feed Forward Neural Network to Solve Singular Boundary Value Problems.
  4. 7 Marks
    bLet fuzzy sets A and B be given as: $A = 0.5/3 + 1/5 + 0.6/7 + 0.8/8$ $B = 1/3 + 0.5/5 + 0.1/7 + 1/8$ where the universe of discourse being $X = \{3, 5, 7, 8\}$. Now obtain the following: i) A+B, the Algebraic Sum ii) A.B, the Algebraic Product iii) S(A,B) the subsethood measure iv) E(A,B) the equality measure
  5. 7 Marks
    aDefine alpha cut, strong alpha cut sets and level sets of a give fuzzy set with help of your data set.
  6. 7 Marks
    bExplain the concept of Fuzzy relations and their composition with help of examples.
  7. 7 Marks
    aExplain the procedures of genetic algorithms and what are the different genetic representations.
  8. 7 Marks
    bA budget airline company operates 3 plains and employs 5 cabin crews. Only one crew can operate on any plain on a single day, and each crew cannot work for more than two days in a row. The company uses all planes every day. A Genetic Algorithm is used to work out the best combination of crews on any particular day. i) Suggest what chromosome could represent an individual in this algorithm? ii) Suggest what could be the alphabet of this algorithm? What is its size?
  9. 7 Marks
    aExplain different Encoding Techniques available for Genetic Algorithms with help of examples.
  10. 7 Marks
    bExplain the difference between fuzzy set and rough fuzzy sets with the help of examples.
  11. 7 Marks
    aExplain the rough set-based decision tree with help of example.
  12. 7 Marks
    bExplain Hidden Markov Models with its application and with help of suitable example.
  13. 7 Marks
    aWhy the Ant colony optimization, Particle Swarm optimization and other techniques are used for feature selection?
  14. 7 Marks
    bExplain the working of Particle Swarm Optimization (PSO Algorithm) with suitable help of example.
  15. 14 Marks
    Write a short note on any two. i) Defuzzification ii) Genetic Operators iii) Bee Colony Optimization iv) Fuzzy Rules
Go to where you left off?

Quick Add to Notes

Save questions, your own notes and screenshots into notes filed by unit. It takes a free account.

Create free account

Have an account? Log in