MCQOPTIONS
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MCQOPTIONS
This section includes 10 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‚ÄÖ√Ñ√∂‚ÀÖ√Ë‚ÀÖ¬•S_THE_OTHER_NAME_OF_WIDROW_&_HOFF_LEARNING_LAW??$# |
| A. | Hebb |
| B. | LMS |
| C. | MMS |
| D. | None of the mentioned |
| Answer» C. MMS | |
| 2. |
Which_of_the_following_equation_represent_perceptron_learning_law?$ |
| A. | ∆wij= µ(si) aj |
| B. | ∆wij= µ(bi – si) aj |
| C. | ∆wij= µ(bi – si) aj Á(xi),wher Á(xi) is derivative of xi |
| D. | ∆wij= µ(bi – (wi a)) aj |
| Answer» C. ‚Äö√Ñ√∂‚àö‚Ć‚àö√∫wij= ¬¨¬®¬¨¬µ(bi ‚Äö√Ñ√∂‚àö√ë‚àö¬® si) aj ‚Äö√†√∂‚àö√ñ(xi),wher ‚Äö√†√∂‚àö√ñ(xi) is derivative of xi | |
| 3. |
widrow & hoff learning law is special case of? |
| A. | hebb learning law |
| B. | perceptron learning law |
| C. | delta learning law |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 4. |
Delta learning is of unsupervised type? |
| A. | yes |
| B. | no |
| Answer» C. | |
| 5. |
State which of the following statements hold foe perceptron learning law? |
| A. | it is supervised type of learning law |
| B. | it requires desired output for each input |
| C. | ∆wij= µ(bi – si) aj |
| D. | all of the mentioned |
| Answer» E. | |
| 6. |
Hebb’s law can be represented by equation?$ |
| A. | ∆wij= µf(wi a)aj |
| B. | ∆wij= µ(si) aj, where (si) is output signal of ith input |
| C. | both way |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 7. |
State whether Hebb’s law is supervised learning or of unsupervised type?$ |
| A. | supervised |
| B. | unsupervised |
| C. | either supervised or unsupervised |
| D. | can be both supervised & unsupervised |
| Answer» C. either supervised or unsupervised | |
| 8. |
What is learning signal in this equation ∆wij= µf(wi a)aj?$ |
| A. | µ |
| B. | wi a |
| C. | aj |
| D. | f(wi a) |
| Answer» E. | |
| 9. |
If the change in weight vector is represented by ∆wij, what does it mean?$ |
| A. | describes the change in weight vector for ith processing unit, taking input vector jth into account |
| B. | describes the change in weight vector for jth processing unit, taking input vector ith into account |
| C. | describes the change in weight vector for jth & ith processing unit. |
| D. | none of the mentioned |
| Answer» B. describes the change in weight vector for jth processing unit, taking input vector ith into account | |
| 10. |
On what parameters can change in weight vector depend? |
| A. | learning parameters |
| B. | input vector |
| C. | learning signal |
| D. | all of the mentioned |
| Answer» E. | |