MCQOPTIONS
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MCQOPTIONS
This section includes 12 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Networks knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Can a neural network learn & recall at the same time? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 2. |
What’s the role of lyaopunov fuction? |
| A. | to determine stability |
| B. | to determine convergence |
| C. | both stability & convergence |
| D. | none of the mentioned |
| Answer» B. to determine convergence | |
| 3. |
CAN_A_NEURAL_NETWORK_LEARN_&_RECALL_AT_THE_SAME_TIME??$ |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 4. |
In_nearest_neighbour_case,_the_stored_pattern_closest_to_input_pattern_is_recalled,_where_does_it_occurs?$ |
| A. | feedback pattern classification |
| B. | feedforward pattern classification |
| C. | can be feedback or feedforward |
| D. | none of the mentioned |
| Answer» C. can be feedback or feedforward | |
| 5. |
What happens during recall in neural networks? |
| A. | weight changes are suppressed |
| B. | input to the network determines the output activation |
| C. | both process has to happen |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 6. |
What does 3rd theorem that describe the stability of a set of nonlinear dynamical systems? |
| A. | shows the stability of fixed weight autoassociative networks |
| B. | shows the stability of adaptive autoaassociative networks |
| C. | shows the stability of adaptive heteroassociative networks |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 7. |
What does cohen grossberg kosko theorem? |
| A. | shows the stability of fixed weight autoassociative networks |
| B. | shows the stability of adaptive autoaassociative networks |
| C. | shows the stability of adaptive heteroassociative networks |
| D. | none of the mentioned |
| Answer» C. shows the stability of adaptive heteroassociative networks | |
| 8. |
What does cohen grossberg theorem? |
| A. | shows the stability of fixed weight autoassociative networks |
| B. | shows the stability of adaptive autoaassociative networks |
| C. | shows the stability of adaptive heteroassociative networks |
| D. | none of the mentioned |
| Answer» B. shows the stability of adaptive autoaassociative networks | |
| 9. |
V(x) is said to be lyapunov function if? |
| A. | v(x) >=0 |
| B. | v(x) <=0 |
| C. | v(x) =0 |
| D. | none of the mentioned |
| Answer» C. v(x) =0 | |
| 10. |
Did existence of lyapunov function is necessary for stability? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 11. |
What’s the role of lyaopunov fuction?$ |
| A. | to determine stability |
| B. | to determine convergence |
| C. | both stability & convergence |
| D. | none of the mentioned |
| Answer» B. to determine convergence | |
| 12. |
Lyapunov function is vector in nature? |
| A. | yes |
| B. | no |
| Answer» C. | |