JNTU B.Tech II Semester Examinations, NEURAL NETWORKS, Apr/May 2008

JNTU B.Tech II Semester Examinations, NEURAL NETWORKS, Apr/May 2008

(Computer Science & Engineering)

Time: 3 hours Max Marks: 80

Answer any FIVE Questions

All Questions carry equal marks


1. Explain the following benefits of neural network

(a) Neurobiological analogy

(b) Uniformity of analysis and design

(c) Fault tolerance

(d) VLSI implementability. [4+4+4+4]


2. (a) Write in detail about error-detection learning.

(b) Write in detail about memory brief learning. [8+8]


3. Write about linearly separable patterns and non-linearly separable patterns in single

layer perceptron with an examples [8+8]


4. Give the solution for credit -assignment problem using back propagation. [16]


5. What is back propagation? Derive its learning algorithm with a schematic two-layer feed forward neural network. [16]


6. (a) Explain Willshaw-Vonder malsburg’s of self organized feature map and compare with Kohenen model.

(b) Explain how we can use learning vector quantizer for the final fine tuning of a feature map. [8+8]


7. Explain the design procedure of Neuro-Controller for a dynamical system with a case study. [16]


8. (a) A Hopfield network made up of 5 neurons, which is required to store the

following three fundamental memories

?1 = {+1, +1, +1, +1, +1}T

?2 = {+1, -1, -1, +1, -1}T

?3 = {-1, +1, -1, +1, +1}T

Evaluate the 5-by-5 synaptic weight matrix of the network

(b) Contrast and compare a recurrent network configuration with a feed forward network. [8+8]

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