AKTU Application of Soft Computing (KCS056) Question Paper 2023-24

Note: Attempt all Sections. If require any missing data; then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. Explain neuron with its structure.
2. Define an artificial neural network.
3. Draw diagram for multilayer perceptron model.
4. Discuss the different features of single layer perceptron.
5. Explain roles of crisp sets.
6. Write a difference between crisp and fuzzy set.
7. List basic fuzzy set operations.
8. Explain fuzzy relations.
9. Define genetic algorithm.
10. List different types of encoding in genetic algorithm.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. Explain about activation function with its use in neuron model.
2. Explain how linear separable task is defined for two dimensional spaces? Discuss XOR problem.
3. Explain all fuzzy set properties.
4. Verify De morgan’s Law using truth table for three states.
5. Explain different methods of selection in genetic algorithm in order to select a population for next generation.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. Draw a single layer feed forward network and explain its working function.
2. Explain working of recurrent network and compare with multilayer neural network.

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain McCulloch -Pitts model and write disadvantage of it.
2. Draw a network for solving exclusive OR problem.

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. Define the membership function and state its importance in fuzzy logic. Also discuss the features of membership functions.
2. Explain two important inferring procedures.

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain in brief different attributes of predicate logic
2. Define fuzziness of fuzzy set and what is a fuzzy function?

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. Discuss about the genetic operators. What are the roles of genetic operators in GA?
2. Explain why mutation is done in genetic algorithm? Explain types of mutation.

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