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This section includes 7 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Network knowledge and support exam preparation. Choose a topic below to get started.
1. |
Which of the following equation represent perceptron learning law? |
A. | wij= (si) aj |
B. | wij= (bi si) aj |
C. | wij= (bi si) aj (xi),wher (xi) is derivative of xi |
D. | wij= (bi (wi a)) aj |
Answer» C. wij= (bi si) aj (xi),wher (xi) is derivative of xi | |
2. |
What s the other name of widrow & hoff learning law? |
A. | Hebb |
B. | LMS |
C. | MMS |
D. | None of the mentioned |
Answer» C. MMS | |
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. |
Hebb s law can be represented by equation? |
A. | wij= f(wi a)aj |
B. | wij= (si) aj, where (si) is output signal of ith input |
C. | both way |
D. | none of the mentioned |
Answer» D. none of the mentioned | |
5. |
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 | |
6. |
What is learning signal in this equation wij= f(wi a)aj? |
A. | |
B. | wi a |
C. | aj |
D. | f(wi a) |
Answer» E. | |
7. |
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 | |