Soft Computing MCQ

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Introduction:

Soft computing vs hard computing.

Q1. Soft computing is used to solve:

  1. Liner issues
  2. Non-linear issues
  3. Both 1 and 2
  4. None of the above

Ans. 2

Soft computing is used to resolve non-linear, imprecise problems that normally require human intelligence, on the other hand hard computing is used to solve questions or problems that can be solved using perfect equations this is the main difference between soft and hard computing.

Q2. Depth first search algorithm starts searching from:

  1. Any branch of the tree
  2. Root of the tree
  3. Top most branch of the tree
  4. None of the above

Ans: 2

As the name goes the depth search algorithm starts from root of a tree and goes to the maximum extent till the branch exists.

Q3. Using fuzzy logic what does we normally try to achieve?

  1. Generate rules or learnings on it’s own
  2. User AND-OR logic to encode human learning
  3. Uses IF-THEN function to encode human learning
  4. All of the above

Ans. 3

Q4. Characteristic of AO* algorithm:

  1. Few sub-problems are solved to get solution for main problem
  2. There is only one main problem there are no sub-problems of it
  3. IF-ELSE conditions are used to represent the solution
  4. AND-OR graphs are used to represent the solution

Ans. 4

Q5. Benefits of using recurrent neural network:

  1. It does not remember it’s input or learnings from previous inputs
  2. It remember it’s inputs as well as learnings from previous inputs
  3. It does not require learnings from precious inputs
  4. None of the above

Ans. 2

As it remembers inputs from previous learnings as well that improves the accuracy of this model.

soft computing MCQ

Q6. Which one of the below is a type of production system?

  1. Batch
  2. Continuous
  3. Project
  4. All of the above

Ans. 4. All of the above

Q7. In supervised learning models are trained on:

  1. Unlabelled data
  2. Labelled data
  3. Half labelled data – half unlabelled
  4. None of the above

Ans. 2. Labelled data

Supervised learning models are trained on given labeled data, using which it learns and creates rules based on which it then maps the unpredicted data to relevant buckets.

Q8. Out of hard computing and soft computing which one takes more time for computation?

  1. Soft computing
  2. Hard computing
  3. Both takes almost same time
  4. None of the above

Ans. 1. Hard computing

As in soft computing intelligent computational steps are followed as a result computation time in it is less than w.r.t hard computing.

Q9. Neural networks or fuzzy logic are part of:

  1. Soft computing
  2. Hard computing
  3. Both
  4. None of the above

Ans. 1. Soft computing

Q10. Which one of the two produces precise answers:

  1. Soft computing
  2. Hard computing
  3. Both produces precise answers
  4. None produces precise answers

Ans. 2. Hard computing

soft computing MCQ

Q11. In which of the two the program learns and evolves over time as the new data points comes into picture:

  1. Soft computing
  2. Hard computing
  3. Both
  4. None of the above

Ans. 1. Soft computing

Q12. In soft computing the output doesn’t remains same when we train of same data, whereas in case of hard computing the output will always remains the same:

  1. True
  2. False

Ans. True

Q13. Hard computing allows parallel computation and soft computation follows sequential computation:

  1. True
  2. False

Ans. False

It’s opposite i.e. hard computing follows sequential computations, whereas soft computing allows parallel computation.

Q14. What are hybrid systems?

  1. Combination of hard and soft computing methods
  2. Combination of several hard computing methods
  3. Combination of several soft computing methods
  4. None of the above

Ans. 3. Combination of several soft computing methods

Hybrid systems are combination of several soft computing methods for e.g. some hybrid systems examples are hybrid fuzzy logic systems, hybrid neural networks systems etc.

Q15. One human cell contains how many pairs of chromosomes?

  1. 21
  2. 22
  3. 23
  4. 24

Ans. 3. 23

Q16. The entire combination of genes is called:

  1. Phenotype
  2. Genotype
  3. Allele
  4. None of the above

Ans. 2. Genotype

soft computing mcq

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