NTA NET CSA Test Code NN1801 November 30, 2018 Muskan Leave a comment 1. If the Fourier transform of the function f(x, y) is F(m, n), then the Fourier transform of the function f(2x, 2y) is : 1/4 F(m/2 , n/2) 1/4 F (2m, 2n) 1/4 F (m, n) 1/4 F ( m/4 , n/4) 2. A technique used to approximate halftones without reducing spatial resolution is known as Halftoning Dithering Error diffusion None of the above 3. Compute the value of adding the following two fuzzy integers: A = {(0.3,1), (0.6,2), (1,3), (0.7,4), (0.2,5)} B = {(0.5,11), (1,12), (0.5,13)} Where fuzzy addition is defined as μA+B(z) = maxx+y=z (min(μA(x), μB(x))) Then, f(A+B) is equal to {(0.5,12), (0.6,13), (1,14), (0.7,15), (0.7,16), (1,17), (1,18)} {(0.5,12), (0.6,13), (1,14), (1,15), (1,16), (1,17), (1,18)} {(0.3,12), (0.5,13), (0.6,14), (1,15), (0.7,16), (0.5,17), (0.2,18)} {(0.3,12), (0.5,13), (0.5,14), (1,15), (0.7,16), (0.5,17), (0.2,18)} 4. You are given an OR problem and a XOR problem to solve. Then, which one of the following statements is true? Both OR and XOR problems can be solved using single layer perception OR problem can be solved using single layer perception and XOR problem can be solved using self organizing maps OR problem can be solved using radial basis function and XOR problem can be solved using single layer perception OR problem can be solved using single layer perception and XOR problem can be solved using radial basis function 5. The traveling salesman problem involves n cities with paths connecting the cities. The time taken for traversing through all the cities, without knowing in advance the length of a minimum tour, is n n^2 n! n/2 6. Which of the following points lies on the same side as the origin with reference to the line 3x + 7y= 2 ? (3,0) (1,0) (0.5,0.5) (0.5,0) 7. A __________ point of a fuzzy set A is a point x ∈ X at which µA(x) = 0.5 Core Support Cross-over α – cut 8. What is the best method to go for the game playing problem? Optimal Search Random Search Heuristic Search Stratified Search 9. Which of the following neural networks uses supervised learning? (A) Multilayer perceptron (B) Self organizing feature map (C) Hopfield network A B A and B A and C 10. In propositional logic P ⇔ Q is equivalent to (Where ~ denotes NOT): ~ (P ˅ Q) ˄ ~ (Q ˅ P) (~ P ˅ Q) ˄ (~ Q ˅ P) (P ˅ Q) ˄ (Q ˅ P) ~ (P ˅ Q) → ~ (Q ˅ P) Loading … Post Views: 777 Share this...FacebookTwitter
