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Welcome to the Basics of Artificial Neural Networks MCQs Page

Dive deep into the fascinating world of Basics 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 Basics 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 Basics 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.

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Check out the MCQs below to embark on an enriching journey through Basics 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 Basics of Artificial Neural Networks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Basics of Artificial Neural Networks MCQs | Page 1 of 7

Discuss
Answer: (d).all of the mentioned
Discuss
Answer: (a).to bring computer more and more closer to user
Discuss
Answer: (a).human perceive everything as a pattern while machine perceive it merely as data
Discuss
Answer: (b).related to storage and recall task
Q5.
Does pattern classification belongs to category of non-supervised learning?
Discuss
Answer: (b).NO
Q6.
In pattern mapping problem in neural nets, is there any kind of generalization involved between input and output?
Discuss
Answer: (a).YES
Discuss
Answer: (c).neither feature and nor number of groups is known
Q8.
Does pattern classification and grouping involve same kind of learning?
Discuss
Answer: (b).NO
Q9.
Does for feature mapping there’s need of supervised learning?
Discuss
Answer: (b).NO
Q10.
Example of a unsupervised feature map?
Discuss
Answer: (b).voice recognition
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