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. |
How does the name counterpropagation signifies its architecture? |
| A. | its ability to learn inverse mapping functions |
| B. | its ability to learn forward mapping functions |
| C. | its ability to learn forward and inverse mapping functions |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 2. |
What consist of a basic counterpropagation network? |
| A. | a feedforward network only |
| B. | a feedforward network with hidden layer |
| C. | two feedforward network with hidden layer |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 3. |
WHAT_CONSIST_OF_A_BASIC_COUNTERPROPAGATION_NETWORK??$ |
| A. | a feedforward network only |
| B. | a feedforward network with hidden layer |
| C. | two feedforward network with hidden layer |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 4. |
How_does_the_name_counterpropagation_signifies_its_architecture?$ |
| A. | its ability to learn inverse mapping functions |
| B. | its ability to learn forward mapping functions |
| C. | its ability to learn forward and inverse mapping functions |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 5. |
Th CPN provides practical approach for implementing? |
| A. | patter approximation |
| B. | pattern classification |
| C. | pattern mapping |
| D. | pattern clustering |
| Answer» D. pattern clustering | |
| 6. |
What does PNN do? |
| A. | function approximation task |
| B. | pattern classification task |
| C. | function approximation and pattern classification task |
| D. | none of the mentioned |
| Answer» C. function approximation and pattern classification task | |
| 7. |
What does GRNN do? |
| A. | function approximation task |
| B. | pattern classification task |
| C. | function approximation and pattern classification task |
| D. | none of the mentioned |
| Answer» B. pattern classification task | |
| 8. |
In which type of networks training is completely avoided? |
| A. | GRNN |
| B. | PNN |
| C. | GRNN and PNN |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 9. |
Pattern recall takes more time for? |
| A. | MLFNN |
| B. | Basis function |
| C. | Equal for both MLFNN and basis function |
| D. | None of the mentioned |
| Answer» C. Equal for both MLFNN and basis function | |
| 10. |
Why is the training of basis function is faster than MLFFNN? |
| A. | because they are developed specifically for pattern approximation |
| B. | because they are developed specifically for pattern classification |
| C. | because they are developed specifically for pattern approximation or classification |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 11. |
What is the advantage of basis function over mutilayer feedforward neural networks? |
| A. | training of basis function is faster than MLFFNN |
| B. | training of basis function is slower than MLFFNN |
| C. | storing in basis function is faster than MLFFNN |
| D. | none of the mentioned |
| Answer» B. training of basis function is slower than MLFFNN | |
| 12. |
What is the use of MLFFNN? |
| A. | to realize structure of MLP |
| B. | to solve pattern classification problem |
| C. | to solve pattern mapping problem |
| D. | to realize an approximation to a MLP |
| Answer» E. | |