adplus-dvertising

Welcome to the Applications of Artificial Neural Networks MCQs Page

Dive deep into the fascinating world of Applications of Artificial Neural Networks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Applications of Artificial Neural Networks, a crucial aspect of neural networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of Applications of Artificial Neural Networks, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within neural networks.

frame-decoration

Check out the MCQs below to embark on an enriching journey through Applications of Artificial Neural Networks. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of neural networks.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Applications of Artificial Neural Networks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Applications of Artificial Neural Networks MCQs | Page 4 of 5

Explore more Topics under neural networks

Q31.
Which application out of these of robots can be made of single layer feedforward network?
Discuss
Answer: (d).wall following
Q32.
Which is the most direct application of neural networks?
Discuss
Answer: (c).pattern classification
Discuss
Answer: (d).all of the mentioned
Discuss
Answer: (a).performs pattern recognition
Discuss
Answer: (d).none of the mentioned
Q36.
For what purpose, hamming network is suitable?
Discuss
Answer: (a).classification
Q37.
What happens in upper subnet of the hamming network?
Discuss
Answer: (d).none of the mentioned
Discuss
Answer: (c).output of only one unit remains positive
Discuss
Answer: (b).greater the degradation less is the activation value of winning units
Q40.
What does the matching score at first layer in recognition hamming network is indicative of?
Discuss
Answer: (c).similarity of input pattern with patterns stored
Page 4 of 5

Suggested Topics

Are you eager to expand your knowledge beyond neural networks? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!