Exam Details
Subject | soft computing | |
Paper | ||
Exam / Course | m.tech | |
Department | ||
Organization | Institute Of Aeronautical Engineering | |
Position | ||
Exam Date | January, 2019 | |
City, State | telangana, hyderabad |
Question Paper
Hall Ticket No Question Paper Code: BCS208
INSTITUTE OF AERONAUTICAL ENGINEERING
(Autonomous)
M.Tech II Semester End Examinations (Supplementary) January, 2019
Regulation: IARE-R16
SOFT COMPUTING
Time: 3 Hours Max Marks: 70
Answer ONE Question from each Unit
All Questions Carry Equal Marks
All parts of the question must be answered in one place only
UNIT I
1. What are the differences between soft computing and hard computing?
What is neural network? Write the advantages of neural networks.
2. Explain different models of artificial neural networks with neat sketch.
What is the linear separability? Explain in detail with example.
UNIT II
3. Explain the training process of auto associative memory with neat sketch.
What is hopfield network. Write the testing algorithm for discrete hopfield network.
4. Explain the architecture of linear vector quantization with neat sketch.
What is the weight updation learning rule on winning? Explain.
UNIT III
5. What is fuzzy membership? Explain the methods of membership value assignment.
Given two fuzzy sets 0.3/4 0.5/6 0.2/8 +0.4/4 0.1/6
perform union intersection, difference and compliment over the sets A and B.
6. Explain Max-Min composition and Max Product composition with an example.
Explain lambda cut for fuzzy relation in detail with an example.
UNIT IV
7. What is categorical reasoning? Explain its formulations in detail.
What are the steps to compute output in Mamdani FIS.
8. Explain in detail about multi objective decision making.
With a neat diagram explain fuzzy closed loop control system.
Page 1 of 2
UNIT V
9. Compare natural evolution and genetic algorithm terminology.
What is fitness? Explain fitness function with an example.
10. Explain with example single point cross over and two point cross over.
List and explain the applications of genetic algorithms.
INSTITUTE OF AERONAUTICAL ENGINEERING
(Autonomous)
M.Tech II Semester End Examinations (Supplementary) January, 2019
Regulation: IARE-R16
SOFT COMPUTING
Time: 3 Hours Max Marks: 70
Answer ONE Question from each Unit
All Questions Carry Equal Marks
All parts of the question must be answered in one place only
UNIT I
1. What are the differences between soft computing and hard computing?
What is neural network? Write the advantages of neural networks.
2. Explain different models of artificial neural networks with neat sketch.
What is the linear separability? Explain in detail with example.
UNIT II
3. Explain the training process of auto associative memory with neat sketch.
What is hopfield network. Write the testing algorithm for discrete hopfield network.
4. Explain the architecture of linear vector quantization with neat sketch.
What is the weight updation learning rule on winning? Explain.
UNIT III
5. What is fuzzy membership? Explain the methods of membership value assignment.
Given two fuzzy sets 0.3/4 0.5/6 0.2/8 +0.4/4 0.1/6
perform union intersection, difference and compliment over the sets A and B.
6. Explain Max-Min composition and Max Product composition with an example.
Explain lambda cut for fuzzy relation in detail with an example.
UNIT IV
7. What is categorical reasoning? Explain its formulations in detail.
What are the steps to compute output in Mamdani FIS.
8. Explain in detail about multi objective decision making.
With a neat diagram explain fuzzy closed loop control system.
Page 1 of 2
UNIT V
9. Compare natural evolution and genetic algorithm terminology.
What is fitness? Explain fitness function with an example.
10. Explain with example single point cross over and two point cross over.
List and explain the applications of genetic algorithms.
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