Q.1
Is ART in neural networks?
  • automatic resonance theory
  • artificial resonance theory
  • adaptive resonance theory
  • none of the mentioned
Q.2
Soft-computing methodology is characterised by
  • precise solution
  • control actions are unambiguous and accurate
  • control actions is formally defined
  • algorithm which can easily adapt with the change of dynamic environment
Q.3
Of ANN in which ANN creates its own organization or representation of information it receives during learning time is
  • adaptive learning
  • self organization
  • what-if analysis
  • supervised learning
Q.4
Of the following neural networks uses supervised learning?(A) Multilayer perceptron(B) Self organizing feature map(C) Hopfield network
  • (a) only
  • (b) only
  • (a) and (b) only
  • (a) and (c) only
Q.5
Is the feature of ANNs due to which they can deal with noisy, fuzzy, inconsistent data?
  • associative nature of networks
  • distributive nature of networks
  • both associative & distributive
  • none of the mentioned
Q.6
Fuzzy set has a membership function whose membership values are strictly monotonically increasing or strictly monotonically decreasing or strictly monotonically increasing than strictly monotonically decreasing with increasing values for elements in the universe
  • convex fuzzy set
  • concave fuzzy set
  • non concave fuzzy set
  • non convex fuzzy set
Q.7
Are also other operators, more linguistic in nature, called                   that can be applied to fuzzy set theory.
  • hedges
  • lingual variable
  • fuzz variable
  • none of the mentioned
Q.8
Elements of EA are ?
  • parent selection methods
  • survival selection methods
  • both a and b
  • noneof these
Q.9
Function should be
  • maximum
  • minimum
  • intermediate
  • noneof these
Q.10
Who becomes parents and how many children the parents have.
  • parent combination
  • parent selection
  • parent mutation
  • parent replace
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