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Quiz 3
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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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