Top 150+ Solved Neural Network MCQ Questions Answer

From 16 to 30 of 144

Q. Following are the advantage/s of Decision Trees. Choose that apply.

a. possible scenarios can be added

b. for data including categorical variables with different number of levels, information gain in decision trees are biased in favor of those attributes with more levels

c. worst, best and expected values can be determined for different scenarios

d. use a white box model, if given result is provided by a model

  • d. use a white box model, if given result is provided by a model

Q. Which of the following is the model used for learning?

a. decision trees

b. neural networks

c. propositional and fol rules

d. all of the mentioned

  • d. all of the mentioned

Q. Automated vehicle is an example of ______.

a. supervised learning

b. unsupervised learning

c. active learning

d. reinforcement learning

  • a. supervised learning

Q. Following is an example of active learning:

a. news recommendation system

b. dust cleaning machine

c. automated vehicle

d. none of the mentioned

  • a. news recommendation system

Q. In which of the following learning the teacher returns reward and punishment to learner?

a. active learning

b. reinforcement learning

c. supervised learning

d. unsupervised learning

  • b. reinforcement learning

Q. Decision trees are appropriate for the problems where:

a. attributes are both numeric and nominal

b. target function takes on a discrete number of values.

c. data may have errors

d. all of the mentioned

  • d. all of the mentioned

Q. Which of the following is not an application of learning?

a. data mining

b. www

c. speech recognition

d. none of the mentioned

  • d. none of the mentioned

Q. Which of the following is the component of learning system?

a. goal

b. model

c. learning rules

d. all of the mentioned

  • d. all of the mentioned

Q. Following is also called as exploratory learning:

a. supervised learning

b. active learning

c. unsupervised learning

d. reinforcement learning

  • c. unsupervised learning

Q. What will take place as the agent observes its interactions with the world?

a. learning

b. hearing

c. perceiving

d. speech

  • a. learning

Q. Which modifies the performance element so that it makes better decision?

a. performance element

b. changing element

c. learning element

d. none of the mentioned

  • c. learning element

Q. What is used in determining the nature of the learning problem?

a. environment

b. feedback

c. problem

d. all of the mentioned

  • b. feedback

Q. Which is used for utility functions in game playing algorithm?

a. linear polynomial

b. weighted polynomial

c. polynomial

d. linear weighted polynomial

  • d. linear weighted polynomial
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