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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 2 of 5

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Discuss
Answer: (d).to realize an approximation to a MLP
Discuss
Answer: (a).training of basis function is faster than MLFFNN
Discuss
Answer: (c).because they are developed specifically for pattern approximation or classification
Discuss
Answer: (b).Basis function
Q15.
In which type of networks training is completely avoided?
Discuss
Answer: (c).GRNN and PNN
Discuss
Answer: (a).function approximation task
Discuss
Answer: (b).pattern classification task
Q18.
The CPN provides practical approach for implementing?
Discuss
Answer: (c).pattern mapping
Discuss
Answer: (c).two feedforward network with hidden layer
Discuss
Answer: (c).its ability to learn forward and inverse mapping functions
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