adplus-dvertising

Welcome to the competitive learning neural networks MCQs Page

Dive deep into the fascinating world of competitive learning neural networks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of competitive learning neural networks, a crucial aspect of neural networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of competitive learning 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 competitive learning 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 competitive learning neural networks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

competitive learning neural networks MCQs | Page 3 of 3

Explore more Topics under neural networks

Q21.
What kind of learning is involved in pattern clustering task?
Discuss
Answer: (b).unsupervised
Q22.
In pattern clustering, does physical location of a unit relative to other unit has any significance?
Discuss
Answer: (b).no
Q23.
How is feature mapping network distinct from competitive learning network?
Discuss
Answer: (d).none of the mentioned
Discuss
Answer: (a).to capture the features in space of input patterns
Discuss
Answer: (c).updated for winning unit and its neighbours
Q26.
In feature maps, when weights are updated for winning unit and its neighbour, which type learning it is known as?
Discuss
Answer: (c).kohonen’s learning
Q27.
In self organizing network, how is layer connected to output layer?
Discuss
Answer: (c).each input unit is connected to each output unit
Discuss
Answer: (d).all of the mentioned
Discuss
Answer: (d).all of the mentioned
Q30.
Use of nonlinear units in the feedback layer of competitive network leads to concept of?
Discuss
Answer: (d).none of the mentioned
Page 3 of 3

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!