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Soft Computing MCQs
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Soft Computing MCQs
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25 Questions

1. Uncertainty can be represented by _________
2. Which of the following is offered by the Bayesian network?
3. Which of the following exhibits non-linear functions to any desired degree of accuracy?
4. A perceptron can be defined as _________
5. Having multiple perceptrons can solve the XOR problem satisfactorily because each perceptron can partition off a linear part of the space itself, and they can then combine their results.
6. The probability density function is represented by
7. The ________ causes all the bits in the first operand to shift to the left by the number of positions indicated by the second operand.
8. The truth values of traditional set theory can be defined as _________ and that of fuzzy logic is termed as _________.
9. Which of the following is not the promise of an artificial neural network?
10. Which of the following is chosen among the multiple consistent hypotheses?
11. What are the advantages of neural networks over conventional computers?
I. Neural networks learn from examples
II. They are more fault-tolerant
III. They are well suited for real-time operation due to their high computational rates
12. Which of the following is associated with fuzzy logic?
13. Which of the following statement is correct?
14. What is the name of the operator that is functioned on the population?
15. Which of the following is true for unsupervised learning?
16. Which of the following is incorrect?
17. Based on _________ membership function can be used to solve empirical problems.
18. ________ deals with uncertainty problems with its own merits and demerits
19. Which of the following models are utilized for learning?
20. Which of the following represents the values of set membership?
21. Which of the following best relate to reinforcement learning?
22. ________ helps in converting a given bit pattern into another bit pattern by using logical bit-wise operation.
23. Which of the following is incorrect?
24. A Fuzzy logic is an extension to the Crisp set, which handles the Partial Truth.
25. _________ represents the fuzzy logic

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