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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.

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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 3 of 5

Discuss
Answer: (a).network in neural which contains feedback
Discuss
Answer: (d).all of the mentioned
Q23.
The bidirectional associative memory is similar in principle to?
Discuss
Answer: (d).none of the mentioned
Discuss
Answer: (c).Adaptive resonance theory
Discuss
Answer: (d).none of the mentioned
Q26.
What type learning is involved in ART?
Discuss
Answer: (b).unsupervised
Q27.
What type of inputs does ART – 1 receives?
Discuss
Answer: (b).binary
Q28.
A greater value of ‘p’ the vigilance parameter leads to?
Discuss
Answer: (a).small clusters
Discuss
Answer: (d).none of the mentioned
Discuss
Answer: (d).none of the mentioned
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