Roll No.
Total No. of Pages : 02
Total No. of Questions : 18
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B.Tech. (CSE) (2012 to 2017 E-III) (Sem.-7)
SOFT COMPUTING
Subject Code: BTCS-911
M.Code: 71903
Time: 3 Hrs.
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Max. Marks : 60
INSTRUCTION TO CANDIDATES :
- SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks each.
- SECTION-B contains FIVE questions carrying FIVE marks each and students have to attempt any FOUR questions.
- SECTION-C contains THREE questions carrying TEN marks each and students have to attempt any TWO questions.
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SECTION-A
Write briefly :
- What is soft computing?
- List the limitation of perceptron.
- What is meant by unsupervised learning?
- State the importance of fuzzy sets.
- What is Fuzzy Inference System (FIS)?
- State the importance of genetic algorithm.
- What is meant by genetic algorithm?
- Describe population.
- What are hidden layers?
- Explain fuzzification.
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SECTION-B
- Draw the architecture of backpropagation algorithm.
- Discuss the important features of Kohonen self organizing maps.
- Discuss in detail the operations and properties of fuzzy sets.
- With a neat flowchart, explain the operation of a simple genetic algorithm.
- Consider the following two fuzzy sets :
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A = { 0.3 / x1 , 0.7 / x2 , 1 / x3 } and
B = { 0.4 / y1 , 0.9 / y2 , 1 / y3 }
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Perform Cartesian product over these given fuzzy sets.
SECTION-C
- Implement AND function using perceptron networks for bipolar inputs and targets.
- a. With a suitable block diagram, explain the working principle of a Fuzzy Inference Systems.
b. Develop a Fuzzy Inference System (FIS) editor for a liquid level controller model. - Write a short note on the applications of the following:
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- Soft computing.
- Neuro-fuzzy modeling.
- Neural networks to pattern recognition system such as character recognition.
- Genetic algorithm.
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