# 2007 Anna University Chennai B.E Biomedical Engineering Neural Networks Question paper

** University Question Papers **

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**2007 Anna University Chennai B.E Biomedical Engineering Neural Networks Question paper

<span id="ContentPlaceHolder1_lblDescription">B.E. BIOMEDICAL ENGINEERING<br />

6TH SEM<br />

NEURAL NETWORKS<br />

MAX:100<br />

ANSWER THE FOLLOWING:<br />

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PART A-(10*2=20)<br />

1. Draw the stimulated structure of a neuron.<br />

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2. What is meant by learning rate parameter?<br />

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3. How weights are initialized by BAM?<br />

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4. Mention the special features of Boltzman machine.<br />

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5. Draw any two activation functions.<br />

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6. What is an instar?<br />

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7. Compare ART 1 and ART 2 (any 2)<br />

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8. State the significance of Mexican hat function in SOM.<br />

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9. Define spatiotemporal pattern<br />

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10. What are ‘S’ cells? <br />

PART-B (5*16 -80)<br />

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11. (a) (i) Describe the biological neuron and brief the feature of artificial neural networks.<br />

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(ii) Solve the EXOR problem with perceptron. <br />

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(Or)<br />

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(b) Explain the madaline architecture and describe the MR II learning algorithm. How madaline is used for translation invariant pattern recognition?<br />

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12 (a) (i) Describe the learning expressions in the back propagation network.<br />

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(ii) Describe the generalized delta rule.<br />

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(Or)<br />

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(b) Describe the structure and operation of continuous Hopfield network. & Construct an autoassociative BAM using the following training vectors. X1 = (1,-1,-1,1,-1,1)t and x2 = (1,1,1,-1,-1,-1)t . Determine the output using xo =(1,1,1,1,-1,1)t <br />

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13 (a) Describe the concept of simulated annealing. How this is applied in Boltzman machine to overcome the drawbacks of Hopfield network. Also ngive the procedure for retrieving the stored vector with partial knowledge in Boltzmann machine.<br />

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. (Or)<br />

<b