MCQOPTIONS
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MCQOPTIONS
This section includes 9 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. |
WHAT_DOES_THE_ACTIVATION_VALUE_OF_WINNER_UNIT_IS_INDICATIVE_OF??$ |
| A. | greater the degradation more is the activation value of winning units |
| B. | greater the degradation less is the activation value of winning units |
| C. | greater the degradation more is the activation value of other units |
| D. | greater the degradation less is the activation value of other units |
| Answer» C. greater the degradation more is the activation value of other units | |
| 2. |
What does the matching score at first layer in recognition hamming network is indicative of?$ |
| A. | dissimilarity of input pattern with patterns stored |
| B. | noise immunity |
| C. | similarity of input pattern with patterns stored |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 3. |
The competition in upper subnet of hamming network continues till? |
| A. | only one unit remains negative |
| B. | all units are destroyed |
| C. | output of only one unit remains positive |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 4. |
What happens in upper subnet of the hamming network? |
| A. | classification |
| B. | storage |
| C. | output |
| D. | none of the mentioned |
| Answer» E. | |
| 5. |
For what purpose, hamming network is suitable? |
| A. | classification |
| B. | association |
| C. | pattern storage |
| D. | none of the mentioned |
| Answer» B. association | |
| 6. |
what is true about single layer associative neural networks? |
| A. | performs pattern recognition |
| B. | can find the parity of a picture |
| C. | can determine whether two or more shapes in a picture are connected or not |
| D. | none of the mentioned |
| Answer» B. can find the parity of a picture | |
| 7. |
What are pros of neural networks over computers? |
| A. | they have ability to learn b examples |
| B. | they have real time high computational rates |
| C. | they have more tolerance |
| D. | all of the mentioned |
| Answer» E. | |
| 8. |
Which is the most direct application of neural networks? |
| A. | vector quantization |
| B. | pattern mapping |
| C. | pattern classification |
| D. | control applications |
| Answer» D. control applications | |
| 9. |
Which application out of these of robots can be made of single layer feedforward network? |
| A. | wall climbing |
| B. | rotating arm and legs |
| C. | gesture control |
| D. | wall following |
| Answer» E. | |