Soft Computing MCQs
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Soft Computing MCQs
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25 Questions

1. Which of the following is not a specified method used for selecting the parents?
2. What is involved in inductive learning?
3. What is meant by an auto-associative neural network?
4. Backpropagation can be defined as _________
5. Which of the following fuzzy operators are utilized in fuzzy set theory?
6. Which of the following takes input as an object described by a set of attributes?
7. What is involved in inductive learning?
8. Which of the following is the best representation of individual genes?
9. Which of the following condition can directly influence a variable by all the others?
10. ________ helps in converting a given bit pattern into another bit pattern by using logical bit-wise operation.
11. A neural network can answer
12. _________ is not counted in different learning method.
13. Which of the following is chosen among the multiple consistent hypotheses?
14. _________ helps in modifying the performance element, assisting in making a better decision.
15. Which of the following is incorrect?
16. How many types of random variables are there in Fuzzy logic?
17. _________ represents the fuzzy logic
18. Which of the following is correct for the neural network?
I. The training time is dependent on the size of the network
II. Neural networks can be simulated on the conventional computers
III. Artificial neurons are identical in operation to a biological one
19. What is the name of the process that represents modified elements of the DNA?
20. _________is used for probability theory sentences.
21. Each connection link in ANN is linked with ________ that contains statics about the input signal.
22. ________ deals with uncertainty problems with its own merits and demerits
23. In artificial neural network, interconnected processing elements are termed as _________
24. Matrix crossover is also known as _________
25. Uncertainty can be represented by _________

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