Tribhuwan University Institute of Science and Technology 2078

Bachelor Level / Sixth Semester / Science Full marks: 60 Computer Science and Information Technology(CSC372) Pass marks: 24 ((TU CSIT) Neural Networks) Time: 3 hours\

Candidates are required to give their answers in their own words as far as practicable. The figures in the margin indicate full marks.

                                                                   **Section A**

Attempt any two questions.

  1. Differentiate between Quasi-Newton method and nonlinear conjugate gradient algorithm for supervised training of multiplayer perception and explain conjugate gradient algorithm.(3+7)
  1. How XOR (Exclusive OR) problem can be solved by Radial-Basis Function networks. Draw necessary figures and perform required calculations to complete the specificatioin of the RBF network. (10)
  1. Explain real time recurrent learning algorithm for training a recurrent network with practical example. (10)

Attempt any eight questions.

  1. What are the three basic rules that depicts the flow of signal in a neural network viewed as directed graph? (5)