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Soft Computing: Neural Network 2
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Soft Computing: Neural Network 2
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20 Questions

1. The backpropagation law is also known as generalized delta rule, is it true?
2. What is true about sigmoidal neurons?
3. What are general limitations of back propagation rule?
4. What is true regarding backpropagation rule?
5. hat type learning is involved in ART?
6. Does backpropagaion learning is based on gradient descent along error surface?
7. What does the vigilance parameter in ART determines?
8. What is meant by generalized in statement .
9. What type of inputs does ART .
10. What is the purpose of ART?
11. What is true regarding backpropagation rule?
12. There is feedback in final stage of backpropagation algorithm?
13. What are the general tasks that are performed with backpropagation algorithm?
14. ART is made to tackle?
15. What does ART stand for?
16. What is the objective of the backpropagation algorithm?
17. An auto .
18. A greater value of .
19. How can learning process be stopped in backpropagation rule?
20. The bidirectional associative memory is similar in principle to?