MCQOPTIONS
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This section includes 5 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. |
Linear neurons can be useful for application such as interpolation, is it true? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 2. |
What is the objective of a pattern storage task in a network? |
| A. | to store a given set of patterns |
| B. | to recall a give set of patterns |
| C. | both to store and recall |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 3. |
If input is a(l) + e where e is the noise introduced, then what is the output if system is interpolative in nature? |
| A. | a(l) |
| B. | a(l) + e |
| C. | could be either a(l) or a(l) + e |
| D. | e |
| Answer» C. could be either a(l) or a(l) + e | |
| 4. |
If input is a(l) + e where e is the noise introduced, then what is the output if system is accretive in nature? |
| A. | a(l) |
| B. | a(l) + e |
| C. | could be either a(l) or a(l) + e |
| D. | e |
| Answer» B. a(l) + e | |
| 5. |
If input is a(l) + e where e is the noise introduced, then what is the output in case of autoassociative feedback network? |
| A. | a(l) |
| B. | a(l) + e |
| C. | could be either a(l) or a(l) + e |
| D. | e |
| Answer» C. could be either a(l) or a(l) + e | |