Computational Intelligence (CS-702 (A)) - Important Questions

Explain the various components of computational intelligence with examples.

Explain the working of Parametric Model and explain its application in statistics.

Design a feedforward neural network to solve singular boundary value problems.

Let 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 is X = {3, 5, 7, 8}. Compute algebraic sum, algebraic product, subsethood measure and equality measure for given fuzzy sets.

Define alpha-cut, strong alpha-cut and level set of a fuzzy set with example.

Explain the concept of Fuzzy relations and their composition with help of examples.

Define defuzzification and explain the different defuzzification methods.

Explain the procedures of genetic algorithms and what are the different genetic representations.

Suggest a chromosome representation and alphabet (and its size) for a genetic algorithm applied to the airline crew scheduling problem.

Explain the different encoding techniques available for Genetic Algorithms with examples.

Explain the difference between fuzzy set and rough fuzzy sets with the help of examples.

Explain the rough set-based decision tree with help of example.

Explain Hidden Markov Model and its applications with a suitable example.

Why the Ant colony optimization, Particle Swarm optimization and other techniques are used for feature selection?

Explain the working of Particle Swarm Optimization (PSO Algorithm) with suitable help of example.