gs gs127 Basics of Artificial Neural Networks - Terminology - Quiz No.1
gs gs127 SQLite Quiz
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Question 1: What is ART in neural networks?
automatic resonance theory
artificial resonance theory
adaptive resonance theory
none of the mentioned
Question 2: What is an activation value?
weighted sum of inputs
threshold value
main input to neuron
none of the mentioned
Question 3: Positive sign of weight indicates?
excitatory input
inhibitory input
can be either excitatory or inhibitory as such
none of the mentioned
Question 4: Negative sign of weight indicates?
excitatory input
inhibitory input
excitatory output
inhibitory output
Question 5: The amount of output of one unit received by another unit depends on what?
output unit
input unit
activation value
weight
Question 6: The process of adjusting the weight is known as?
activation
synchronisation
learning
none of the mentioned
Question 7: The procedure to incrementally update each of weights in neural is referred to as?
synchronisation
learning law
learning algorithm
both learning algorithm & law
Question 8: In what ways can output be determined from activation value?
deterministically
stochastically
both deterministically & stochastically
none of the mentioned
Question 9: How can output be updated in neural network?
synchronously
asynchronously
both synchronously & asynchronously
none of the mentioned
Question 10: What is asynchronous update in neural netwks?
output units are updated sequentially
output units are updated in parallel fashion
can be either sequentially or in parallel fashion
none of the mentioned
