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Posted By: Atul Member Level: Diamond Posted Date: 23 Apr 2008
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2007 Punjab Technical University B.Tech Electronics & Communications Engineering NEURAL NETWORKS AND FUZZY LOGIC Question paper
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EC - 44
NEURAL NETWORKS AND FUZZY LOGIC
(B.Tech 8th Semester, 2052)
Time : 3 Hours Maximum Marks : 60
NOTE:- This paper consist of Three Sections. Section A is compulsory. Do any Four questions from
Section B and any two questions from Section C
Section-A Marks : 20
1(a) Compare and contrast a biological neuron and an artificial neuron.
(b) Explain the role of bias in activation function.
(c) What is the significance of initial weighta and learning rate in training of ANN ?
(d) Draw Mc-Culloch - Pitts neuron model.
(e) Justify the name "error backpropagation" of EBP.
(f) In which networks "winner" node concept is used ?
(g) Does fuzzy logic mean fuzzy input or fuzzy logic ?
(h) Name few consumer products in which fuzzy electronics is used.
(i) If an item has partial membership in several sets, would all membership values add up to unity ?
(j) Where are Radial Basis functions networks preferred in ANN ?
Section-B Marks:5 Each
2. Using perceptron model of ANN design an OR gate.
3. Write a note on CMAC Nework.
4. Write a note on Counter Propagation Network.
5. Write a note on engineering applications of Fuzzy control.
6. Compare different defuzzification methods.
Section-C Marks : 10 Each
7. Design a fuzzy control system for a break system of a car.
8. Describe with the help of an example how ANNs and what architecture can be used for the following applications :
(a) Optimization
(b) Mul
9. What are RBF-nets and what are the node function of these nets ? Write the algorithm for
RBF network for function approximation.
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