GTU BE 2019 Summer Question Papers || Gujarat Technological University
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GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER-VII (OLD) EXAMINATION — SUMMER 2019
Subject Code: 173101 Date: 27/05/2019
Subject Name: Soft Computing
Instructions:
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Seat No.: Enrolment No.GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER-VII (OLD) EXAMINATION — SUMMER 2019
Subject Code: 173101 Date: 27/05/2019
Subject Name: Soft Computing
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Time: 02:30 PM TO 05:00 PM Total Marks: 70Instructions:
- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full marks.
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| Q.1 | (a) Compare genetic neural network with ANN | 07 |
| (b) Give the differences between Supervised Learning and Unsupervised learning | 07 | |
| Q.2 | (a) Discuss various operations of fuzzy sets with example | 07 |
| (b) Explain Roulette-wheel Selection and Rank Selection with example. | 07 | |
| OR | ||
| Explain Mamdani fuzzy inference model in brief. | ||
| Q.3 | (a) Discuss Back Propagation algorithm. | 07 |
| (b) Write a brief note on Kohonen’s Self Organizing networks | 07 | |
| OR | ||
| Write a short notes on: | ||
| i. Radial Basis Function | ||
| ii. LVQ | ||
| Q.4 | (a) How TSP can be solved using GA: Describe operation performed in different phases using suitable examples | 07 |
| (b) Explain various defuzzification methods | 07 | |
| Q.5 | (a) Explain various hybrid-system | 07 |
| OR | ||
| Define rough set, upper approximation, and lower approximation. Explain with example. | ||
| (b) Draw a flowchart and explain an evolutionary algorithm | 07 | |
| Q.6 | (a) Discuss Adaptive Neuro-Fuzzy Inference Systems. | 07 |
| (b) Discuss Sequence Prediction in machine learning. | 07 | |
| OR | ||
| Discuss color recipe prediction with soft computing in detail. | ||
| Explain the Hebbian Learning Rule |
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