Q2. Compare Supervised and Unsupervised learning.

This is question 2 (7 marks) from the GTU Soft Computing BE Winter 2019 question paper. Subject code: 173101.

Q3. Explain soft computing characteristics.

This is question 3 (7 marks) from the GTU Soft Computing BE Winter 2019 question paper. Subject code: 173101.

Q3. Explain the working of artificial neuron and explain how it differs from biological neuron.

This is question 3 (7 marks) from the GTU Soft Computing BE Winter 2019 question paper. Subject code: 173101.

Q3. Write a short note on rough set theory.

This is question 3 (7 marks) from the GTU Soft Computing BE Winter 2019 question paper. Subject code: 173101.

Q3. Explain working of competitive leaning. Discuss its limitations.

This is question 3 (7 marks) from the GTU Soft Computing BE Winter 2019 question paper. Subject code: 173101.

WinterBE2019

Soft Computing — Winter 2019

Q: Q1. Define Soft computing. Explain its importance. How is Soft computing different from Hard Computing?

This is question 1 (7 marks) from the GTU Soft Computing BE Winter 2019 question paper. Subject code: 173101.

Q: Q1. Discuss back propagation networks in detail with neat sketches.

This is question 1 (7 marks) from the GTU Soft Computing BE Winter 2019 question paper. Subject code: 173101.

Q: Q4. Describe learning vector quantization with suitable example.

This is question 4 (7 marks) from the GTU Soft Computing BE Winter 2019 question paper. Subject code: 173101.

Subject Code173101

ProgramBachelor of Engineering

Total Marks70

Questions10

Exam Date2 December 2019

Exam Time10:30 AM TO 01:00 PM

Questions17

Define Soft computing. Explain its importance. How is Soft computing different from Hard Computing?

[7 marks]

Discuss back propagation networks in detail with neat sketches.

[7 marks]

Discuss various fuzzy set operations with appropriate examples.

[7 marks]

Compare Supervised and Unsupervised learning.

[7 marks]

What is genetic algorithm? How it is different from traditional algorithm.

[7 marks]

Explain soft computing characteristics.

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Describe learning vector quantization with suitable example.

[7 marks]

Explain Reproduction method in GA.

[7 marks]

Write a brief note on Kohenen’s self-Organizing networks.

[7 marks]

Explain printed Character Recognition.

[7 marks]

What is Defuzzification? Describe any two methods of Defuzzification.

[7 marks]

Elaborate Adaptive Neuro – Fuzzy Inference System with neat sketches.

[7 marks]

Explain ANFIS Architecture.

[7 marks]

Explain Hebbian Learning in detail.

[7 marks]