AKTU MCA Soft Computing (KCA032) Question Paper 2021-22

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

Section A

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

1. Explain Soft computing.
2. What is the basic concept of Neural network?
3. Define Unsupervised learning.
4. List the different kind of Learning methods.
5. Define Crisp logic.
6. What do you mean by Classical sets?
7. Define Genetic Technique.
8. Define Evolutionary computing.
9. How Hybrid system is differ from Traditional system in soft computing.
10. What is Neuro fuzzy hybrid system?

Section B

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

1. Discuss the characteristics and limitation of Neural Networks.
2. Illustrate about the Kohonen self-organizing features maps.
3. What is Inference Engine? Explain all its types.
4. Discuss the Classification of Genetic Algorithm.
5. Explain Neuro Genetic Hybrid system with example.

Section C

Q3

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

1. Discuss in brief about the history of Artificial Neural Network.
2. Explain the Neural Network Architecture with diagram.

Q4

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

1. Explain the Back propagation network with diagram.
2. Discuss about the Recurrent Neural Network(RNN) with example.

Q5

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

1. Explain the process of Fuzzification with proper example.
2. Define Fuzzy logic. Explain the Inference rules.

Q6

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

1. What do you mean by Crossover? Explain Mutation process in details.
2. Discuss all the search techniques in details.

Q7

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

1. Illustrate about the Fuzzy Genetic Hybrid System.
2. Explain the Swarm Intelligence with example.

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