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This section includes 9 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 does the matching score at first layer in recognition hamming network is indicative of? |
A. | dissimilarity of input pattern with patterns stored |
B. | noise immunity |
C. | similarity of input pattern with patterns stored |
D. | none of the mentioned |
Answer» D. none of the mentioned | |
2. |
What does the activation value of winner unit is indicative of? |
A. | greater the degradation more is the activation value of winning units |
B. | greater the degradation less is the activation value of winning units |
C. | greater the degradation more is the activation value of other units |
D. | greater the degradation less is the activation value of other units |
Answer» C. greater the degradation more is the activation value of other units | |
3. |
The competition in upper subnet of hamming network continues till? |
A. | only one unit remains negative |
B. | all units are destroyed |
C. | output of only one unit remains positive |
D. | none of the mentioned |
Answer» D. none of the mentioned | |
4. |
What happens in upper subnet of the hamming network? |
A. | classification |
B. | storage |
C. | output |
D. | none of the mentioned |
Answer» E. | |
5. |
For what purpose, hamming network is suitable? |
A. | classification |
B. | association |
C. | pattern storage |
D. | none of the mentioned |
Answer» B. association | |
6. |
what is true about single layer associative neural networks? |
A. | performs pattern recognition |
B. | can find the parity of a picture |
C. | can determine whether two or more shapes in a picture are connected or not |
D. | none of the mentioned |
Answer» B. can find the parity of a picture | |
7. |
What are pros of neural networks over computers? |
A. | they have ability to learn b examples |
B. | they have real time high computational rates |
C. | they have more tolerance |
D. | all of the mentioned |
Answer» E. | |
8. |
Which is the most direct application of neural networks? |
A. | vector quantization |
B. | pattern mapping |
C. | pattern classification |
D. | control applications |
Answer» D. control applications | |
9. |
Which application out of these of robots can be made of single layer feedforward network? |
A. | wall climbing |
B. | rotating arm and legs |
C. | gesture control |
D. | wall following |
Answer» E. | |