| NEUTRAL NETWORKS AND FUZZY LOGIC |
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EC-440 NEUTRAL 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 artifical neuron. (b) Explain the role of bias in activation function. (c) What is the significance of initial weights and learning rate in traning 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) Namse few consumer products in which fuzzy electronics is used. (i) If an item has a 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 Network. 4. Write a note on Counter Propagation Network. 5. Write a note on engineering applications of Fuzzy control. 6. Compare different defuzzyfication methods. Section-C Marks : 10 Each 7. Design a fuzzy control for a brake 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) Multisensor fusion? 9. What are RBF-nets and what are the node function of these nets? Write the algrothim for RBF network for function approximation. |
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