Neural Networks (Model Question) Course Title: Neural Networks Full Marks: 60 Course No: CSC372 Pass Marks: 24 Semester: VI Time: 3 Hrs.

                                                              **Section A**

Attempt any two questions. (2 × 10 = 20)

1. Differentiate between small scale and large scale learning problems. How can heuristic be implemented for making back propagation algorithm perform better? (4+6)

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2. State Cover’s theorem on separability of problems. Explain hybrid learning technique for RBF network. (3+7)

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3. What is vanishing gradient problem in recurrent networks? How can it be solved? Explain with necessary equations. (4+6)

• Answer :

                                                               **Section B**
  

Attempt any eight questions. (8 × 5 = 40)

4. Define neural network. Briefly explain the working mechanism of biological neural with its related functional units (1+4)

• Answer :