AKTU Introduction to Soft Computing (KOE036) Question Paper 2021-22
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow |
|---|---|
| Course | B.Tech, Semester III |
| Subject | Introduction to Soft Computing (KOE036) |
| Exam | Theory Examination 2021-22 (odd semester) |
| Time · Marks | 3 hours · 100 marks |
| Source | AKTU question paper, from the ABESIT question paper bank |
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
- How can we count the layers in a neural network?
- Why single layer perceptron is used?
- Why is fuzzy logic leading to more human intelligent machines?
- How can you improve decision making?
- How ANFIS works in Matlab?
- How does classification and regression tree work?
- Which GA operation is computationally most expensive?
- How is fitness genetic algorithm calculated?
- Which type of searching is used by genetic algorithm?
- Which two technologies are combined for neuro-fuzzy hybrid systems?
Section B
Q2. Attempt any three of the following · 10 × 3 = 30 marks
- Define an artificial neural network. State the characteristics of an artificial neural network.
- Explain the different types of Operation used in Fuzzy Set with suitable examples.
- Name some application of Kohonen’s self-organizing network. What are the properties of adaptive resonance theory?
- Explain Travelling salesman Problem using genetic problem with example.
- Use GA to solve the following non-linear programming problem: Minimize (x - 2.5) + (y - 5) subject to 5.5x + 2y - 18 ≤ 0, 0≤x, y≥5.
Section C
Q3
Attempt any one part of the following · 10 × 1 = 10 marks
- Why neural network is also called as parallel distributed processing?
- What are the applications of Supervised Machine Learning in Modern Businesses?
Q4
Attempt any one part of the following · 10 × 1 = 10 marks
- Explain with a neat diagram the neural network architecture of multilayer feed forward network.
- Find the algebraic sum of two fuzzy sets A={(3, 0.5) (5,1)(7, 0.6)} and ‘B’ and B={(3, 1)(5, 0.6)}
Q5
Attempt any one part of the following · 10 × 1 = 10 marks
- What is the difference between an artificial neural network (ANN) and an adaptive neuro-fuzzy inference system (ANFIS)?
- How to implement Neuro Fuzzy Modeling for Regression Test Cases Prioritization?
Q6
Attempt any one part of the following · 10 × 1 = 10 marks
- What is meant by survival of the fittest and give one specific example?
- What are the various types of mutation techniques in soft computing? Also explain their types.
Q7
Attempt any one part of the following · 10 × 1 = 10 marks
- Show how fuzzy logic control and genetic algorithm based structural optimization can be used for plant control applications
- How computational time of the MATLAB Simulation can be calculated?
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