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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 2 of 3

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Q11.
An instar can respond to a set of input vectors even if its not trained to capture the behaviour of the set?
Discuss
Answer: (a).YES
Q12.
The weight change in plain hebbian learning is?
Discuss
Answer: (d).none of the mentioned
Q13.
What is the nature of weights in plain hebbian learning?
Discuss
Answer: (b).divergent
Discuss
Answer: (d).sangers or ojas rule
Q15.
By normalizing the weight at every stage can we prevent divergence?
Discuss
Answer: (a).YES
Discuss
Answer: (d).none of the mentioned
Q17.
What is the other name of feedback layer in competitive neural networks?
Discuss
Answer: (c).competitive layer
Discuss
Answer: (c).self excitatory to self and inhibitory to others
Q19.
Generally how many kinds of pattern storage network exist?

a.

2

b.

3

c.

4

d.

5

Discuss
Answer: (b).3
Q20.
In competitive learning, node with highest activation is the winner, is it true?
Discuss
Answer: (a).YES
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