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2003 Course Artificial Neural Networks

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Total No. of Questions :12] [Total No. of Pages :4 P1076 [3864]-268 B.E. (E&T/C) ARTIFICIAL NEURAL NETWORKS (ANN) (404218) (2003 Course) Time : 3 Hours] [Max. Marks : 100 Instructions to the candidates: 1) 2) 3) 4) 5) 6) Answer Q. 1 or Q. 2, Q. 3 or Q. 4, Q. 5 or Q. 6 from section - I, Q. 7 or Q. 8, Q.9 or Q. 10, Q. 11 or Q. 12 from section - II. Answers to the two sections should be written in separate books. Neat diagrams must be drawn wherever necessary. Figures to the right indicate full marks. Use of electronic pocket calculator is allowed. Assume suitable data, if necessary. SECTION - I Q1) a) b) c) Explain biological neural network with neat diagram and compare its performance with artificial neural network. [8] A neural network has 2 - input neurons with the following weight matrix W = [3 2] and I = [-5 7]t and the required output is 0.5. i) Find out the bias that will do the job, if linear transfer function is used. ii) Find out the bias, that will do the job, if log sigmoid function is used. [4] Draw and explain the following structures of ANN. [6] i) Group of instars. ii) Group of out stars. iii) Auto associate memory. OR Q2) a) Design OR gate using MP neuron model. Explain the drawbacks of MP neuron model. [4] b) Explain the difference between activation dynamic models and synaptic dynamic models. [6] P.T.O.

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