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Welcome to the Feedback Neural Networks MCQs Page

Dive deep into the fascinating world of Feedback Neural Networks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Feedback Neural Networks, a crucial aspect of neural networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of Feedback 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 Feedback 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 Feedback Neural Networks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Feedback Neural Networks MCQs | Page 7 of 8

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Discuss
Answer: (c).weights are chosen appropriately
Discuss
Answer: (d).none of the mentioned
Discuss
Answer: (d).none of the mentioned
Q64.
What should be the aim of training procedure in boltzman machine of feedback networks?
Discuss
Answer: (d).none of the mentioned
Discuss
Answer: (d).all of the mentioned
Q66.
By using which method, boltzman machine reduces effect of additional stable states?
Discuss
Answer: (b).simulated annealing
Q67.
For which other task can boltzman machine be used?
Discuss
Answer: (d).pattern association
Q68.
How are energy minima related to probability of occurrence of corresponding patterns in the environment?
Discuss
Answer: (a).directly
Q69.
Is exact representation of pattern environment possible?
Discuss
Answer: (b).NO
Q70.
What may be the reasons for non zero probability of error in recalling?
Discuss
Answer: (d).all of the mentioned
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