MCQOPTIONS
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MCQOPTIONS
This section includes 13 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. |
Why there is error in recall, when number of energy minima is more the required number of patterns to be stored? |
| A. | due to noise |
| B. | due to additional false maxima |
| C. | due to additional false minima |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 2. |
How hard problem can be solved? |
| A. | by providing additional units in a feedback network |
| B. | nothing can be done |
| C. | by removing units in hidden layer |
| D. | none of the mentioned |
| Answer» B. nothing can be done | |
| 3. |
What happens when number of available energy minima be more than number of patterns to be stored? |
| A. | no effect |
| B. | pattern storage is not possible in that case |
| C. | error in recall |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 4. |
What can be done by using non – linear output function for each processing unit in a feedback network? |
| A. | pattern classification |
| B. | recall |
| C. | pattern storage |
| D. | all of the mentioned |
| Answer» D. all of the mentioned | |
| 5. |
WHY_THERE_IS_ERROR_IN_RECALL,_WHEN_NUMBER_OF_ENERGY_MINIMA_IS_MORE_THE_REQUIRED_NUMBER_OF_PATTERNS_TO_BE_STORED??$ |
| A. | due to noise |
| B. | due to additional false maxima |
| C. | due to additional false minima |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 6. |
HOW_HARD_PROBLEM_CAN_BE_SOLVED??$ |
| A. | by providing additional units in a feedback network |
| B. | nothing can be done |
| C. | by removing units in hidden layer |
| D. | none of the mentioned |
| Answer» B. nothing can be done | |
| 7. |
What happens when number of available energy minima be less than number of patterns to be stored? |
| A. | pattern storage is not possible in that case |
| B. | pattern storage can be easily done |
| C. | pattern storage problem becomes hard problem for the network |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 8. |
The number of patterns that can be stored in a given network depends on? |
| A. | number of units |
| B. | strength of connecting links |
| C. | both number of units and strength of connecting links |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 9. |
When are stable states reached in energy landscapes, that can be used to store input patterns? |
| A. | mean of peaks and valleys |
| B. | maxima |
| C. | minima |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 10. |
What can be done by using non – linear output function for each processing unit in a feedback network?$ |
| A. | pattern classification |
| B. | recall |
| C. | pattern storage |
| D. | all of the mentioned |
| Answer» D. all of the mentioned | |
| 11. |
Does linear autoassociative network have any practical use? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 12. |
In a linear autoassociative network, if input is noisy than output will be noisy? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 13. |
Which is a simplest pattern recognition task in a feedback network? |
| A. | heteroassociation |
| B. | autoassociation |
| C. | can be hetero or autoassociation, depends on situation |
| D. | none of the mentioned |
| Answer» C. can be hetero or autoassociation, depends on situation | |