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Download PTU B.Tech 2021 Jan CSE 7th Sem 71903 Soft Computing Question Paper

Download PTU (Punjab Technical University) B.Tech (Bachelor of Technology) / BE (Bachelor of Engineering) 2021 January CSE 7th Sem 71903 Soft Computing Previous Question Paper

This post was last modified on 26 June 2021

PTU B.Tech 2021 January Previous Question Papers || PTU Punjab Technical University


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 :

  1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks each.
  2. SECTION-B contains FIVE questions carrying FIVE marks each and students have to attempt any FOUR questions.
  3. 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 :

  1. What is soft computing?
  2. List the limitation of perceptron.
  3. What is meant by unsupervised learning?
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  5. State the importance of fuzzy sets.
  6. What is Fuzzy Inference System (FIS)?
  7. State the importance of genetic algorithm.
  8. What is meant by genetic algorithm?
  9. Describe population.
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  11. What are hidden layers?
  12. Explain fuzzification.

SECTION-B

  1. Draw the architecture of backpropagation algorithm.
  2. Discuss the important features of Kohonen self organizing maps.
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  4. Discuss in detail the operations and properties of fuzzy sets.
  5. With a neat flowchart, explain the operation of a simple genetic algorithm.
  6. Consider the following two fuzzy sets :

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

  1. Implement AND function using perceptron networks for bipolar inputs and targets.
  2. 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.
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  4. Write a short note on the applications of the following:
  1. Soft computing.
  2. Neuro-fuzzy modeling.
  3. Neural networks to pattern recognition system such as character recognition.
  4. Genetic algorithm.
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NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.

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