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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.

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Applications of Artificial Neural Networks MCQs | Page 5 of 5

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Q41.
Can Invariances be build as static functions in the structure?
Discuss
Answer: (b).NO
Discuss
Answer: (d).none of the mentioned
Q43.
Is it possible to capture implicit reasoning process by patten classification network?
Discuss
Answer: (a).yes
Q44.
Are classification methods based on correlation matching using moment features useful for problems of handwritten characters?
Discuss
Answer: (b).NO
Q45.
Associative memory, if used in feedback structure of hopfield type can function as?
Discuss
Answer: (c).content addressable memory
Q46.
In feedforward network, the associations corresponding to input – output patterns are stored in?
Discuss
Answer: (d).none of the mentioned
Q47.
Which is one of the application of associative memories?
Discuss
Answer: (d).image pattern recall from noisy clues
Discuss
Answer: (a).by use of simulated annealing
Q49.
In control applications, how many ways are there to control a plant?
Discuss
Answer: (b).2
Q50.
Neuro – Fuzzy systems can lead to more powerful neural network?
Discuss
Answer: (a).yes
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