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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.

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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 1 of 3

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Q1.
How are input layer units connected to second layer in competitive learning networks?
Discuss
Answer: (a).feedforward manner
Q2.
Which layer has feedback weights in competitive neural networks?
Discuss
Answer: (b).second layer
Q3.
What is the nature of general feedback given in competitive neural networks?
Discuss
Answer: (a).self excitatory
Discuss
Answer: (d).combination of feedforward and feedback
Discuss
Answer: (d).none of the mentioned fulfils the whole criteria
Discuss
Answer: (d).none of the mentioned fulfils the whole criteria
Q7.
If a competitive network can perform feature mapping then what is that network can be called?
Discuss
Answer: (c).self organization
Discuss
Answer: (a).receives inputs from all others
Discuss
Answer: (a).such that it moves towards the input vector
Q10.
The update in weight vector in basic competitive learning can be represented by?
Discuss
Answer: (a).w(t + 1) = w(t) + del.w(t)
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