07th
Feb
Neural Networks MCQ

Neural Networks MCQ

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  • 07th Feb, 2023
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Practice Best Neural Networks MCQ Test & Online Quiz

We have listed below the best Neural Networks MCQ Questions, that check your basic knowledge of Neural Networks. This Neural Networks MCQ Test contains 20 Multiple Choice Questions. You have to select the right answer to check your final preparation for the Neural Networks MCQ Exam/Interviews. apart from this, you can also download the Neural Networks MCQ PDF, completely free from the link given below.

Neural Networks MCQ

1) What is adaline in neural networks?

  • A. adaptive line element
  • B.adaptive linear element
  • C.automatic linear element
  • D.none of the mentioned

2) Which is true for neural networks?

  • A. It has set of nodes and connections
  • B.Each node computes it’s weighted input
  • C.Node could be in excited state or non-excited state
  • D.All of the above

3) What are models in neural networks?

  • A. representation of biological neural networks
  • B.mathematical representation of our understanding
  • C.both first & second
  • D.none of the above

4) How many types of Artificial Neural Networks?

  • A. 3
  • B.2
  • C.4
  • D.5

5) What does RNN Stands for?

  • A. Recurrent Neural Network
  • B.Recurring Neural Network
  • C.Removable Neural Network
  • D.None of the above
Download Free : Neural Networks MCQ PDF

6) What is auto-association task in neural networks?

  • A. predicting the future inputs
  • B.related to storage & recall task
  • C.find relation between 2 consecutive inputs
  • D.all of the above

7) What is plasticity in neural networks?

  • A. input pattern has become static
  • B.input pattern keeps on changing
  • C.output pattern keeps on changing
  • D.none of the above

8) Signal transmission at synapse is a?

  • A. chemical process
  • B.physical process
  • C.both chemical & physical process
  • D.none of the above

9) Operations in the neural networks can perform what kind of operations?

  • A. parallel
  • B.serial
  • C.both parallel & serial
  • D.none of the above

10) A neural network is a network or circuit of neurons.

  • A. True
  • B.False

11) Neural networks can be used in different fields. such as -

  • A. Classification
  • B.Data processing
  • C.Compression.
  • D.All of the above

12) What are the types Of Neural Networks?

  • A. Feed-forward Neural Network
  • B.Radial Basis Functions (RBF) Neural Network
  • C.Recurrent Neural Network
  • D.All of the above

13) Which of the following option is not the disadvantage of Recurrent Neural Network?

  • A. Training an RNN is quite a challenging task
  • B.Inputs of any length can be processed in this model.
  • C.Exploding and gradient vanishing is common in this model.
  • D.It cannot process very long sequences if using 'tanh' or 'relu' as an activation function

14) Neural Networks consist of artificial neurons that are similar to the biological model of neurons.

  • A. True
  • B.False

15) In which type of neural network, the data is grouped based on its distance from a center point?

  • A. Convolution Neural Network
  • B.Recurrent Neural Network
  • C.Modular Neural Network
  • D.Radial Basis Functions Neural Network

16) The Modular Neural Network (MNN) is a neural network that has .......... main branches.

  • A. 2
  • B.4
  • C.6
  • D.8

17) Artificial Neural Networks are the biologically inspired simulations performed on the computer to perform certain specific tasks like

  • A. Clustering
  • B.Classification
  • C.Pattern Recognition
  • D.All of the above

18) Which of the following Neural Network architectures used for Pattern Recognition?

  • A. Multilayer Perceptron
  • B.Kohonen SOM
  • C.Radial Basis Function Network
  • D.All of the above

19) What are the Advantages of Neural Networks?

  • A. It can be performed without any problem
  • B.It can be implemented in any application.
  • C.A neural network learns and reprogramming is not necessary
  • D.All of the above

20) ......... types of methods are used for implementing hardware for Neural Networks.

  • A. 2
  • B.3
  • C.4
  • D.5

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