AKTU Introduction to Soft Computing (KOE046) Question Paper 2022-23

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. How does a multilayer perceptron differ from a single-layer perceptron?
2. Discuss the purpose of a Hopfield network.
3. Explain the concept of membership function in fuzzy sets.
4. How are fuzzy relations different from crisp relations?
5. Discuss data clustering algorithms.
6. Discuss neuro-fuzzy controls.
7. Elaborate the significance of survival of the fittest in the evolutionary process.
8. How does mutation introduce random changes in individuals' genetic material?
9. Discuss a hybrid fuzzy controller.
10. Discuss the Traveling Salesman Problem (TSP).

Section B

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

1. Discuss the role of back propagation in training a neural network?
2. Describe how fuzzy logic help in decision making under uncertainty?
3. How do evolutionary algorithms simulate natural evolution for problem-solving?
4. Discuss the rank method to assign a fitness value to individuals based on their rank in the population?
5. Discuss soft computing techniques implemented in MATLAB?

Section C

Q3

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

1. Explain the process of learning in Kohnen’s self organizing network with suitable example.
2. Discuss Hopfield network store and retrieve information with suitable example.

Q4

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

1. Explain the fuzzy languages and how it is processed in fuzzy automata.
2. Discuss the handling of uncertainty in inputs and outputs using fuzzy functions.

Q5

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

1. Discuss the method of grouping similar data points together using clustering algorithms.
2. How does simulated annealing work as an optimization technique?

Q6

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

1. What role does fitness computation play in the evolutionary process?
2. How does the rank space method utilize the concept of rank to guide the search process?

Q7

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

1. How does a genetic algorithm solve the TSP?
2. How does the genetic algorithm approach is different from the traditional search techniques?

Short on time? See the most repeated AKTU Introduction to Soft Computing questions across all years.

Other years

More AKTU Soft Computing papers on LearnAIFast.

This paper is reproduced for study purposes only. Copyright belongs to AKTU. Source: the question paper bank of ABES Institute of Technology, an AKTU-affiliated college. If you own the copyright and want it removed, email learnwithskillnest@gmail.com and we will take it down.