MCQOPTIONS
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MCQOPTIONS
This section includes 16 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 vigilance parameter in ART determines? |
| A. | number of possible outputs |
| B. | number of desired outputs |
| C. | number of acceptable inputs |
| D. | none of the mentioned |
| Answer» E. | |
| 2. |
ART is made to tackle? |
| A. | stability problem |
| B. | hard problems |
| C. | storage problems |
| D. | none of the mentioned |
| Answer» E. | |
| 3. |
A greater value of ‘p’ the vigilance parameter leads to? |
| A. | small clusters |
| B. | bigger clusters |
| C. | no change |
| D. | none of the mentioned |
| Answer» B. bigger clusters | |
| 4. |
What type of inputs does ART – 1 receives? |
| A. | bipolar |
| B. | binary |
| C. | both bipolar and binary |
| D. | none of the mentiobned |
| Answer» C. both bipolar and binary | |
| 5. |
What does ART stand for? |
| A. | Automatic resonance theory |
| B. | Artificial resonance theory |
| C. | Adaptive resonance theory |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 6. |
An auto – associative network is? |
| A. | network in neural which contains feedback |
| B. | network in neural which contains loops |
| C. | network in neural which no loops |
| D. | none of the mentioned |
| Answer» B. network in neural which contains loops | |
| 7. |
ART_IS_MADE_TO_TACKLE??$ |
| A. | stability problem |
| B. | hard problems |
| C. | storage problems |
| D. | none of the mentioned |
| Answer» E. | |
| 8. |
What_does_vigilance_parameter_in_ART_determines?$ |
| A. | number of possible outputs |
| B. | number of desired outputs |
| C. | number of acceptable inputs |
| D. | none of the mentioned |
| Answer» E. | |
| 9. |
A greater value of ‘p’ the vigilance parameter leads to?# |
| A. | small clusters |
| B. | bigger clusters |
| C. | no change |
| D. | none of the mentioned |
| Answer» B. bigger clusters | |
| 10. |
What type of inputs does ART – 1 receives?$ |
| A. | bipolar |
| B. | binary |
| C. | both bipolar and binary |
| D. | none of the mentiobned |
| Answer» C. both bipolar and binary | |
| 11. |
hat type learning is involved in ART? |
| A. | supervised |
| B. | unsupervised |
| C. | supervised and unsupervised |
| D. | none of the mentioned |
| Answer» C. supervised and unsupervised | |
| 12. |
What is the purpose of ART? |
| A. | take care of approximation in a network |
| B. | take care of update of weights |
| C. | take care of pattern storage |
| D. | none of the mentioned |
| Answer» E. | |
| 13. |
What is the full form of ART in Art? |
| A. | Automatic resonance theory |
| B. | Artificial resonance theory |
| C. | Adaptive resonance theory |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 14. |
The bidirectional associative memory is similar in principle to? |
| A. | hebb learning model |
| B. | boltzman model |
| C. | Papert model |
| D. | none of the mentioned |
| Answer» E. | |
| 15. |
What is true about sigmoidal neurons? |
| A. | can accept any vectors of real numbers as input |
| B. | outputs a real number between 0 and 1 |
| C. | they are the most common type of neurons |
| D. | all of the mentioned |
| Answer» E. | |
| 16. |
An auto – associative network is? |
| A. | network in neural which contains feedback |
| B. | network in neural which contains loops |
| C. | network in neural which no loops |
| D. | none of the mentioned |
| Answer» B. network in neural which contains loops | |