MCQOPTIONS
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MCQOPTIONS
This section includes 11 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. |
A network will be useful only if, it leads to equilibrium state at which there is no change of state? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 2. |
Stability is minimization of error between the desired & actual outputs? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 3. |
A_NETWORK_WILL_BE_USEFUL_ONLY_IF,_IT_LEADS_TO_EQUILIBRIUM_STATE_AT_WHICH_THERE_IS_NO_CHANGE_OF_STATE??$ |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 4. |
What is an objective of a learning law? |
| A. | to capture pattern information in training set data |
| B. | to modify weights so as to achieve output close to desired output |
| C. | it should lead to convergence of system or its weights |
| D. | all of the mentioned |
| Answer» E. | |
| 5. |
If states of system experience basins of attraction, then system may achieve what kind of stability? |
| A. | fixed point stability |
| B. | oscillatory stability |
| C. | chaotic stability |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 6. |
Is pattern storage possible if system has chaotic stability? |
| A. | yes |
| B. | no |
| Answer» B. no | |
| 7. |
If weights are not symmetric i.e cik =! cki, then what happens? |
| A. | network may exhibit periodic oscillations of states |
| B. | no oscillations as it doesn’t depend on it |
| C. | system is stable |
| D. | system in practical equilibrium |
| Answer» B. no oscillations as it doesn‚Äö√Ñ√∂‚àö√ë‚àö¬•t depend on it | |
| 8. |
How many trajectories may terminate at same equilibrium state? |
| A. | 1 |
| B. | 2 |
| C. | many |
| D. | none |
| Answer» D. none | |
| 9. |
What leads to minimization of error between the desired & actual outputs? |
| A. | stability |
| B. | convergence |
| C. | either stability or convergence |
| D. | none of the mentioned |
| Answer» C. either stability or convergence | |
| 10. |
Convergence refers to equilibrium behaviour of activation state? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 11. |
Stability refers to adjustment in behaviour of weights during learning? |
| A. | yes |
| B. | no |
| Answer» C. | |