Soft Computing MCQs
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Soft Computing MCQs
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25 Questions

1. What is the name of the operator in fuzzy set theory, which is found to be linguistic in nature?
2. What is the name of the process that represents modified elements of the DNA?
3. The ________ causes all the bits in the first operand to shift to the left by the number of positions indicated by the second operand.
4. What is meant by an auto-associative neural network?
5. Which of the following is true for unsupervised learning?
6. Based on _________ membership function can be used to solve empirical problems.
7. The truth values of traditional set theory can be defined as _________ and that of fuzzy logic is termed as _________.
8. What is involved in inductive learning?
9. Which of the following is incorrect?
10. Which of the following fuzzy operators are utilized in fuzzy set theory?
11. In artificial neural network, interconnected processing elements are termed as _________
12. Artificial neurons are capable enough to model original neurons networks similarly as they are found in the human brain
13. A neural network can answer
14. Which of the following is not the promise of an artificial neural network?
15. Which of the following is incorrect?
16. Feature of ANN in which ANN creates its own organization of representation of information it receives during learning time is
17. Which of the following is the best representation of individual genes?
18. What is involved in inductive learning?
19. _________ is not counted in different learning method.
20. Name the input function received by neurons, which is also known as the neuron's internal state.
21. A perceptron can be defined as _________
22. Which of the following represents the values of set membership?
23. Backpropagation can be defined as _________
24. Which of the following is the correct example of active learning?
25. Name the selection method that is found to be less noisy.

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