Neural Networks MCQ
1. Which of the following strategies would NOT be effective at improving your communication competence?
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Correct Answer:
Recognize the people, objects, and situations remain stable over time
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2. Selective retention occurs when
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Correct Answer:
We process, store, and retrieve information that we have already selected, organised, and interpreted
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3. What kind of perception is used in printing?
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Correct Answer:
Optical character recognition
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4. Mindless processing is
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Correct Answer:
Information processing that relies heavily on familiar schemata
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5. When you get fired from your job and you determine it is because your boss dislikes you, you are most likely exhibiting
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Correct Answer:
Self-serving bias
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6. _____ prevents you from seeing an individual as an individual rather than as a member of a group.
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Correct Answer:
Schematas
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7. Susan is so beautiful; I bet she is smart too. This is an example of
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Correct Answer:
The halo effect
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8. The process by which you become aware of messages through your sense is called
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Correct Answer:
Perception
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9. Which of the following statements is true?
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Correct Answer:
Not all formal languages are context-free
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10. If a hypothesis says it should be positive, but in fact, it is negative, we call it
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Correct Answer:
A false positive hypothesis
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11. Computational learning theory analyzes the sample complexity and computational complexity of
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Correct Answer:
Inductive learning
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12. Inductive learning involves finding a
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Correct Answer:
Consistent Hypothesis
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13. In an Unsupervised learning
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Correct Answer:
Specific output values are not given
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14. How is Fuzzy Logic different from conventional control methods?
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Correct Answer:
IF and THEN Approach
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15. Which is not a desirable property of a logical rule-based system?
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Correct Answer:
Attachment
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16. Factors which affect the performance of learner system does not include
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Correct Answer:
Good data structures
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17. What takes input as an object described bya set of attributes?
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Correct Answer:
Decision tree
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18. What will happen if the hypothesis space contains the true function?
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Correct Answer:
Unrelizable
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19. Which is used to choose among multiple consistent hypotheses?
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Correct Answer:
Ockham razor
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20. Which is used for utility functions in game playing algorithm?
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Correct Answer:
Linear weighted polynomial
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21. How many types are available in machine learning?
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22. What is used in determining the nature of the learning problem?
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23. How many things are concerned in design of a learning element?
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24. Which modifies the performance element so that it makes better decision?
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Correct Answer:
Learning element
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25. What will take place as the agent observes its interactions with the world?
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26. How the decision tree reaches its decision?
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Correct Answer:
Sequence of test
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27. End Nodes are represented by,
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Correct Answer:
Triangles
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28. Chance Nodes are represented by,
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29. Decision Nodes are represented by,
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30. Choose from the following that are Decision Tree nodes
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Correct Answer:
Decision Nodes
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31. How many types of learning are available in machine learning?
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32. Decision Trees can be used for Classification Tasks.
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33. Decision Tree is
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Correct Answer:
Both & B.
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34. Decision Tree is a display of an algorithm.
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35. Following is also called as exploratory learning:
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Correct Answer:
Unsupervised learning
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36. Which of the following is the component of learning system?
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Correct Answer:
All of the mentioned
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37. Which of the following is not an application of learning?
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Correct Answer:
None of the mentioned
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38. Decision trees are appropriate for the problems where:
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Correct Answer:
All of the mentioned
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39. In which of the following learning the teacher returns reward and punishment to learner?
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Correct Answer:
Reinforcement learning
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40. Following is an example of active learning:
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Correct Answer:
News recommendation system
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41. Automated vehicle is an example of ______.
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Correct Answer:
Supervised learning
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42. Which of the following is the model used for learning?
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Correct Answer:
All of the mentioned
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43. Different learning method does not include:
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Correct Answer:
Introduction
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44. Which of the following is an application of NN (Neural Network)?
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Correct Answer:
All of the mentioned
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45. The network that involves backward links from output to the input and hidden layers is called as ____.
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Correct Answer:
Recurrent neural network
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46. The name for the function in question 16 is
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Correct Answer:
Heaviside function
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47. A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.
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48. Neural Networks are complex ______________ with many parameters.
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Correct Answer:
Linear Functions
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49. Which of the following is not the promise of artificial neural network?
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Correct Answer:
It can explain result
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50. Why are linearly separable problems of interest of neural network researchers?
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Correct Answer:
Because they are the only class of problem that Perceptron can solve successfully
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51. What is back propagation?
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Correct Answer:
It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn.
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52. Why is the XOR problem exceptionally interesting to neural network researchers?
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Correct Answer:
Because it is the simplest linearly inseparable problem that exists.
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53. Neuro software is:
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Correct Answer:
It is powerful and easy neural network
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54. Which is true for neural networks?
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Correct Answer:
All of the mentioned
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55. An auto-associative network is:
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Correct Answer:
A neural network that contains feedback
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56. A perceptron is:
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Correct Answer:
A single layer feed-forward neural network with pre-processing
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57. What does the term "transfer function" mean?
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Correct Answer:
The response function of a neuron
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58. What is the set of input-output patterns provided to train the network?
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Correct Answer:
Training set
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59. What are the inputs of a TDNN?
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Correct Answer:
Over a range of times
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60. What value does a neuron
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Correct Answer:
The value of activity
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61. What value of activity does a neuron send a response to?
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Correct Answer:
Threshold
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62. What does it take to test if a neural net has been trained?
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Correct Answer:
Input-output patterns
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63. What is the set of input-output patterns used to test if a neural network has been trained?
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64. What is modification of connection weights called?
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Correct Answer:
Reinforcement training
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65. What is the name of the activity that is fed back into a recurrent network
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66. What is the process of input activity being fed back into the hidden layers?
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Correct Answer:
Recurrent network
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67. Receptor cells are specialized cells to what type of input?
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Correct Answer:
Different types
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68. What are Receptor cells?
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Correct Answer:
Specialised cells responding to different types of input
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69. What are the receptor cells that respond to different types of input?
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Correct Answer:
Photoreceptors
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70. What kind of updating is used?
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71. What is the main goal of PCA?
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Correct Answer:
Detection of the main direction in the input space
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72. What formula is used to determine the main direction in the input space?
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Correct Answer:
Principle component analysis
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73. What type of cell is the neuron that is fed by the neuron shown in the image?
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Correct Answer:
Presynaptic cell
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74. What type of analysis is performed to determine features before using on a neural network?
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Correct Answer:
Processing
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75. What is another term for "parallel processing"?
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Correct Answer:
Simultaneous functioning of all the neurons
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76. The simultaneous functioning of all the neurons in a neural network is known as what?
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Correct Answer:
Parallel processing
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77. Overtraining can be caused by what?
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Correct Answer:
Training to fit the training set too closely
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78. What type of layer is the output layer?
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Correct Answer:
Set of neurons used to give output to specify classes or solve other tasks
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79. What is another term for the input layer?
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Correct Answer:
Output layer
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80. What is noisy data?
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Correct Answer:
Data with parts missing or extra
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81. Neural assemblies contain active neurons that what?
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82. In the brain, what are neural assemblies called?
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Correct Answer:
Sets of active neurons
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83. What does a neuron release when active?
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Correct Answer:
Nerve impulse
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84. What term is added to the weight change in back-propagation to achieve better learning?
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Correct Answer:
Momentum term
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85. What does "local minimum" mean?
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Correct Answer:
A value ofan error or energy function which need not be the lowest value
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86. What is another name for a local minimum?
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Correct Answer:
A value ofan error or energy function
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87. What term is used when the error or energy function is not the lowest possible value, but is locally a minimum?
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Correct Answer:
Local minimum
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88. What does the term "minimum" in the previous sentence refer to?
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Correct Answer:
A value ofan error or energy function
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89. What kind of memory is local memory?
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90. What is the term used to describe activity excited by one or several inputs which is localised at only one or a few neurons in the net?
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Correct Answer:
Local memory
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91. What are sets of points in a space?
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Correct Answer:
Linear separability: the presence ofa plane which can separate sets of points
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92. What is the name of the neural network that has an associative property?
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Correct Answer:
Linear associator network
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93. What property does an associator network have?
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Correct Answer:
Associative
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94. Learning theory is the analysis of the speed and result of what?
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Correct Answer:
Learning rules
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95. What sort of analysis looks at rules and their speed of execution?
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Correct Answer:
Learning theory
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96. What kind of weight changes with learning?
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Correct Answer:
Connection weights
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97. What is the amount by which the connection weights change at each learning step?
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Correct Answer:
Learning rate
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98. Learning law is a rule for what?
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Correct Answer:
Changing the connection weights in a neural network
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99. What does a neural net
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Correct Answer:
Send their outputs to other neurons
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100. What is the presence of neurons that all receive inputs from a preceding set of neurons called?
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101. What does lateral inhibition do?
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Correct Answer:
Reduction of activity
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102. Inhibition by activity of a given neuron is called what?
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Correct Answer:
Lateral inhibition
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103. What does lateral inhibition reduce in neighbourhood neurons?
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104. What is a kohonen learning law?
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Correct Answer:
Training ofa network by modification of the weights of the neuron
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105. What does the interconnection matrix show?
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Correct Answer:
The set ofvalues of the connection weights in a neural network
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106. What is the set of values for a connection
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Correct Answer:
Interconnection matrix
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107. What type of neurons are used to create an artificial neural network?
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108. What are the units called that only receive input activity?
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Correct Answer:
Special neurons
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Electronics And Electrical Engineering MCQs | Topic-wise
