6. Assignments/ Tutorials

Even Term (Previous Year)

Assignment-1 (CO1 & CO2)

1. Draw the structure of biological Neuron and compare biological and artificial neural networks.

2. Define learning in the context of ANN. What are the different types of learning explain in detail.

3. Realize the Mc Culloch Pitts model for NAND and NOR Gate.

4. Realize ANDNOT function using Hebbnet. Also form the decision boundary separating line.

5. Use Hebbnet to classify the given two dimensional input pattern (A and E).

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6. Explain Perceptron Learning Algorithm.

7. Write and prove perceptron Convergence Algorithm.

8. Derive equation for Back Propagation Training.

9. Calculate weights for following example using Back propagation method.

Assignment-2 (CO3)

1. Develop Adaline algorithm for Binary output, write MATLAB code.

2. Develop Madaline algorithm for Binary output, write MATLAB code.

3. Develop Back Propagation Algorithm, Write MATLAB code.

4. Describe learning difficulties and Improvements.

5. Explain Generalized Delta rule.

Assignment-3 (CO4 & CO5)

1. Explain Paradigms of Associative Memory and Hopfield Network.

2. Explain Bidirectional Associative Memory (BAM) Architecture.

3. Discuss BAM Energy Function, Proof of BAM Stability.

4. Describe Capacity of the Hopfield Network.

5. Discuss Instance/Memory Based Learning Algorithms.