gs gs127 Introduction - Neural Network Introduction - Quiz No.1
gs gs127 SQLite Quiz
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Question 1: How can false minima be reduced in case of error in recall in feedback neural networks?
by providing additional units
by using probabilistic update
can be either probabilistic update or using additional units
none of the mentioned
Question 2: What is a Boltzman machine?
A feedback network with hidden units
A feedback network with hidden units and probabilistic update
A feed forward network with hidden units
A feed forward network with hidden units and probabilistic update
Question 3: What is objective of linear autoassociative feedforward networks?
to associate a given pattern with itself
to associate a given pattern with others
to associate output with input
none of the mentioned
Question 5: If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output in case of autoassociative feedback network?
a(l)
a(l) + e
could be either a(l) or a(l) + e
e
Question 6: If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output if system is accretive in nature?
a(l)
a(l) + e
could be either a(l) or a(l) + e
e
Question 7: If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output if system is interpolative in nature?
a(l)
a(l) + e
could be either a(l) or a(l) + e
e
Question 8: What property should a feedback network have, to make it useful for storing information?
accretive behaviour
interpolative behaviour
both accretive and interpolative behaviour
none of the mentioned
Question 9: What is the objective of a pattern storage task in a network?
to store a given set of patterns
to recall a give set of patterns
both to store and recall
none of the mentioned
