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Roll No. | Total No. of Questions : 08 |
M.Tech.(ECE) | Total No. of Pages : 01 |
(Sem.-1) | |
NEURAL NETWORK & FUZZY LOGIC | |
Subject Code : EC-505 | |
Time: 3 Hrs. | M.Code: 36206 |
INSTRUCTIONS TO CANDIDATES :
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- Attempt any FIVE questions out of EIGHT questions.
- Each question carries TWENTY marks.
Max. Marks : 100
- a) Explain in detail Radial basis function neural network. (10)
b) Describe the basic learning laws in RBF nets. (10) - a) Discuss in detail about knowledge representation and acquisition. (10)
b) Explain the basic model of neuron in neural networks. Discuss about the characteristics of neural networks. (10) - Describe in detail about ART networks. (20)
- a) Explain how neural network can be used for pattern recognition. (10)
b) Discuss in detail about associative memories. (10) - a) Write a note on Kohenen's feature maps. (10)
b) Explain competitive learning in detail. (10) - Discuss in detail about Antilock Breaking system using fuzzy logic. (20)
- a) Explain in detail about defuzzification methods. (10)
b) Distinguish between supervised and unsupervised learning. (10) - Write short notes on following :
a) Reinforcement learning (07)
b) Linguistic variables (07)
c) Fuzzy IF-THEN rule (06)
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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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This download link is referred from the post: PTU M.Tech 1st Semester Last 10 Years 2010-2020 Previous Question Papers|| Punjab Technical University
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