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Learning MCQ Questions and Answers on Artificial Intelligence:  We provide in this topic different mcq question like learning, neural networks, decision trees , inductive logic programming etc.

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31) Which is true for neural networks?

    It has set of nodes and connections
    Each node computes it’s weighted input
    Node could be in excited state or non-excited state
    All of the mentioned

Answer : D Discuss

32) Neuro software is:

    A software used to analyze neurons
    It is powerful and easy neural network
    Designed to aid experts in real world
    It is software used by Neurosurgeon

Answer : B Discuss

33) Why is the XOR problem exceptionally interesting to neural network researchers?

    Because it can be expressed in a way that allows you to use a neural network
    Because it is complex binary operation that cannot be solved using neural networks
    Because it can be solved by a single layer perceptron
    Because it is the simplest linearly inseparable problem that exists.

Answer : D Discuss

34) What is back propagation?

    It is another name given to the curvy function in the perceptron
    It is the transmission of error back through the network to adjust the inputs
    It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
    None of the mentioned

Answer : C Discuss

35) Why are linearly separable problems of interest of neural network researchers?

    Because they are the only class of problem that network can solve successfully
    Because they are the only class of problem that Perceptron can solve successfully
    Because they are the only mathematical functions that are continue
    Because they are the only mathematical functions you can draw

Answer : B Discuss

36) Which of the following is not the promise of artificial neural network?

    It can explain result
    It can survive the failure of some nodes
    It has inherent parallelism
    It can handle noise

Answer : A Discuss

37) Neural Networks are complex ______________ with many parameters.

    Linear Functions
    Nonlinear Functions
    Discrete Functions
    Exponential Functions

Answer : A Discuss

38) The name for the function in question 16 is

    Step function
    Step function
    Logistic function
    Perceptron function

Answer : B Discuss

39) Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results

    True – this works always, and these multiple perceptrons learn to classify even complex problems
    False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do
    True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded
    False – just having a single perceptron is enough

Answer : C Discuss

40) The network that involves backward links from output to the input and hidden layers is called as ____

    Self organizing maps
    Perceptrons
    Recurrent neural network
    Multi layered perceptron

Answer : C Discuss

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