Exam Details
| Subject | elective – i : soft computing | |
| Paper | ||
| Exam / Course | f.y. m.tech. (civil -structural engg.) | |
| Department | ||
| Organization | solapur university | |
| Position | ||
| Exam Date | 12, December, 2018 | |
| City, State | maharashtra, solapur |
Question Paper
F.Y.M.Tech. (Computer Sci. and Engg.) (Semester (New CBCS)
Examination, 2018
Elective I Soft Computing
Day and Date Wednesday, 12-12-2018 Max. Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Assume suitable data if necessary.
Figures to right indicate full marks.
SECTION I
1. Attempt any two
Describe evolution from Conventional AI to Computational Intelligence.
Explain Fuzzy Membership functions Triangular, Trapezoidal, Gaussian
and S-function.
Explain Mc-Colloch-Pitts model with the help of diagram.
2. Attempt any two
What is soft computing Describe soft computing constituents.
What is Fuzzy Rules Explain Mamdani's and Zadeh's interpretation of
fuzzy rules.
Describe Unsupervised Learning Neural Networks.
3. What is Fuzzy Inference System List and explain five steps of entire fuzzy
inference process. 7
P.T.O.
Set P
SECTION II
4. Attempt any two
List and explain applications of GA in machine learning.
What is ANFIS Explain ANFIS Architecture with the help of diagram.
What is deep learning Explain recent trends' in deep learning.
5. Attempt any two
What is GA Explain Roulette wheel and Boltzman selection with example.
Explain Coactive Neuro-Fuzzy Modeling in detail.
Describe recent trends used in neural network and genetic algorithm.
6. Explain Fuzzy C-Means Clustering in detail. 7
Examination, 2018
Elective I Soft Computing
Day and Date Wednesday, 12-12-2018 Max. Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Assume suitable data if necessary.
Figures to right indicate full marks.
SECTION I
1. Attempt any two
Describe evolution from Conventional AI to Computational Intelligence.
Explain Fuzzy Membership functions Triangular, Trapezoidal, Gaussian
and S-function.
Explain Mc-Colloch-Pitts model with the help of diagram.
2. Attempt any two
What is soft computing Describe soft computing constituents.
What is Fuzzy Rules Explain Mamdani's and Zadeh's interpretation of
fuzzy rules.
Describe Unsupervised Learning Neural Networks.
3. What is Fuzzy Inference System List and explain five steps of entire fuzzy
inference process. 7
P.T.O.
Set P
SECTION II
4. Attempt any two
List and explain applications of GA in machine learning.
What is ANFIS Explain ANFIS Architecture with the help of diagram.
What is deep learning Explain recent trends' in deep learning.
5. Attempt any two
What is GA Explain Roulette wheel and Boltzman selection with example.
Explain Coactive Neuro-Fuzzy Modeling in detail.
Describe recent trends used in neural network and genetic algorithm.
6. Explain Fuzzy C-Means Clustering in detail. 7
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