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Introduction to Soft Computing

Quiz by Manoj Dhawan

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20 questions
Show answers
  • Q1
    Who initiated the idea of Soft Computing
    Lofti A. Zadeh
    Mc_Culloch
    Grossberg
    Charles Darwin
    20s
  • Q2
    Core of soft Computing is
    Fuzzy Networks and Artificial Intelligence
    Fuzzy Computing, Neural computing, Genetic Algorithms
    Neural Science and Genetic Science
    Artificial Intelligence and Neural Science
    20s
  • Q3
    Fuzzy Computing
    deals with information which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic
    All
    doesn't deal with 2 valued logic
    mimics human behaviour
    20s
  • Q4
    Neural Computing
    A. mimics human brain
    C. Both (a) and (b)
    D. None of the above
    B. information processing paradigm
    20s
  • Q5
    Genetic Algorithm are a part of
    inspired by Darwin's theory about evolution - "survival of the fittest"
    All
    Evolutionary Computing
    are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics
    20s
  • Q6
    What are the 3 types of learning
    Layered, Structure and Sequential
    Supervised,Unsupervised and Reinforcement
    Supervised, Unsupervised and Improvised
    Improvised, Unsupervised and Reinforcement
    20s
  • Q7
    Supervised Learning is
    learning with computers as supervisor
    learning without teacher
    learning with the help of examples
    learning with the help of teacher
    20s
  • Q8
    Unsupervised learning is
    learning from teachers
    learning from environment
    problem based learning
    learning without computers
    20s
  • Q9
    Conventional Artificial Intelligence is different from soft computing in the sense
    B. Conventional Artificial Intelligence methods are limited by symbols where as soft computing is based on empirical data
    D. May not say about it.
    A. Conventional Artificial Intelligence deal with predicate logic where as soft computing deal with fuzzy logic
    C. Both (a) and (b)
    20s
  • Q10
    In supervised learning
    classes are not required
    classes are predefined
    classification is not done
    classes are not predefined
    20s
  • Q11
    In artificial Neural Network interconnected processing elements are called
    nodes or neurons
    weights
    axons
    Soma
    20s
  • Q12
    Internal state of neuron is called __________, is the function of the inputs the neurons receives
    Bias
    None
    Activation or activity level of neuron
    Weight
    20s
  • Q13
    Neuron can send ________ signal at a time
    any number of
    one
    multiple
    depend on application
    20s
  • Q14
    Artificial neural network used for
    Clustering
    All of these
    Pattern Recognition
    Classification
    20s
  • Q15
    Ability to learn how to do tasks based on the data given for training or initial experience
    Fault tolerance
    Robustness
    Adaptive Learning
    Self Organization
    20s

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