Karnataka State Open University (KSOU) 2010 M.Sc Information Technology Fourth Semester - Computer Cognition [Old Syllabus] - Question Paper
Illlllllllllllllllllllllllllll MSIT 4E 33 (OS)
IV Semester M.Sc. (I.T.) Examination, June/July 2010 COMPUTER COGNITION (Old Syllabus)
Max. Marks : 75
Time : 3 Hours
Instruction : Answer all questions from Part A and answer any five
questions from Part B.
PART - A
1. What are the features of biological neurons ?
(12x2+1x1=25)
2. List any two simulated tools for Computer Cognition.
3. What are AXON and Synaptic Junction ?
4. What are types of Artificial Neural Networks classified based on learning strategy ?
5. What is the capacity of a perceptron ?
6. What is function approximation ?
7. What is curse of dimensionality ?
8. What is Hebbian Learning ?
9. What is massive parallelism ?
10. What is Cross over and mutation ?
11. What is fault tolerance ?
12. Mention the applications of ES.
13. What is AND function ?
Answer any five :
1. What is Artificial Neural Network ? What are the tasks performed by artificial neural network ? Explain its characteristics.
(5x10=50)
2. State and prove Perception convergence Theorem.
3. What is a convex hull ? Can a three-layer BP network solve any classification problem ? Explain.
4. Discuss the learning algorithms for a fixed RBF Neural network.
5. Explain Basic principles and Applications of Self Organization.
6. Write a Growing Cell Structure Algorithm and mention its applications.
7. a) What are the differences between uni-modal and multi-modal functions ?
b) Explain working of a simple genetic algorithm.
8. Explain the following :
a) EP and GAS
b) Mapping.
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