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. |
First Order Logic is also known as, |
| A. | first order predicate calculus |
| B. | quantification theory |
| C. | lower order calculus |
| D. | all of the mentioned above |
| Answer» E. | |
| 2. |
Which algorithm is in more similar to backward chaining algorithm? |
| A. | depth-first search algorithm |
| B. | breadth-first search algorithm |
| C. | hill-climbing search algorithm |
| D. | all of the mentioned |
| Answer» B. breadth-first search algorithm | |
| 3. |
Which allows for a simple and matrix implementation of the entire basic algorithm? |
| A. | hmm |
| B. | restricted structure of hmm |
| C. | temporary model |
| D. | reality model |
| Answer» C. temporary model | |
| 4. |
Where does the additional variable is added in HMM? |
| A. | temporal model |
| B. | reality model |
| C. | probability model |
| D. | all of the mentioned |
| Answer» B. reality model | |
| 5. |
FEEDFORWARD_NETWORKS_ARE_ALSO_USED_FOR_AUTOASSOCIATION_&_PATTERN_STORAGE??$ |
| A. | yes |
| B. | no |
| Answer» C. | |
| 6. |
FEEDBACK_NETWORKS_ARE_USED_FOR_AUTOASSOCIATION_&_PATTERN_STORAGE??$ |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 7. |
What are 3 basic types of neural nets that form basic functional units amon? |
| A. | feedforward ii) loop iii) recurrent iv) feedback v) combination of feed forward & back |
| B. | i, ii, iii |
| C. | i, ii, iv |
| D. | i, iv, v |
| Answer» D. i, iv, v | |
| 8. |
Can system be both interpolative & accretive at same time? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 9. |
If a(l) gives output b(l) & a’=a(l)+m,where m is small quantity & if a’ gives ouput b(l) then?$ |
| A. | network exhibits accretive behaviour |
| B. | network exhibits interpolative behaviour |
| C. | exhibits both accretive & interpolative behaviour |
| D. | none of the mentioned |
| Answer» B. network exhibits interpolative behaviour | |
| 10. |
The recalled output in pattern association problem depends on? |
| A. | nature of input-output |
| B. | design of network |
| C. | both input & design |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 11. |
Let a(l), b(l) represent in input-output pairs, where “l” varies in natural range of no.s, then if a(l)=b(l)?$ |
| A. | problem is heteroassociation |
| B. | problem is autoassociation |
| C. | can be either auto or heteroassociation |
| D. | none of the mentioned |
| Answer» C. can be either auto or heteroassociation | |
| 12. |
From given input-output pairs pattern recognition model should capture characteristics of the system? |
| A. | true |
| B. | false |
| Answer» B. false | |