Neural Network

Associative Memories

Question 1
Marks : +2 | -2
Pass Ratio : 17%
BAM is a special case of MAM, is that true?
yes
no
Explanation:
BAM i.e Bidirectional Associative Memory is a special case of MAM i.e Multidirectional Associative Memory.
Question 2
Marks : +2 | -2
Pass Ratio : 32%
If the weight matrix stores the given patterns, then the network becomes?
autoassoiative memory
heteroassociative memory
multidirectional assocative memory
temporal associative memory
Explanation:
If the weight matrix stores the given patterns, then the network becomes autoassoiative memory.
Question 3
Marks : +2 | -2
Pass Ratio : 7%
If the weight matrix stores association between a pair of patterns, then network becomes?
autoassoiative memory
heteroassociative memory
multidirectional assocative memory
temporal associative memory
Explanation:
If the weight matrix stores the given patterns, then the network becomes heteroassociative memory.
Question 4
Marks : +2 | -2
Pass Ratio : 2%
What are the tasks that cannot be realised or recognised by simple networks?
handwritten characters
speech sequences
image sequences
all of the mentioned
Explanation:
These all are complex recognition tasks.
Question 5
Marks : +2 | -2
Pass Ratio : 15%
If the weight matrix stores association between adjacent pairs of patterns, then network becomes?
autoassoiative memory
heteroassociative memory
multidirectional assocative memory
temporal associative memory
Explanation:
If the weight matrix stores the given patterns, then the network becomes temporal associative memory.
Question 6
Marks : +2 | -2
Pass Ratio : 7%
What is the objective of BAM?
to store pattern pairs
to recall pattern pairs
to store a set of pattern pairs and they can be recalled by giving either of pattern as input
none of the mentioned
Explanation:
The objective of BAM i.e Bidirectional Associative Memory, is to store a set of pattern pairs and they can be recalled by giving either of pattern as input.
Question 7
Marks : +2 | -2
Pass Ratio : 17%
If the weight matrix stores multiple associations among several patterns, then network becomes?
autoassoiative memory
heteroassociative memory
multidirectional assocative memory
temporal associative memory
Explanation:
If the weight matrix stores the given patterns, then the network becomes multidirectional assocative memory.
Question 8
Marks : +2 | -2
Pass Ratio : 7%
Can data be stored directly in associative memory?
yes
no
Explanation:
Data cannot be stored directly in associative memory.
Question 9
Marks : +2 | -2
Pass Ratio : 7%
Heteroassociative memory is also known as?
unidirectional memory
bidirectional memory
multidirectional assocative memory
temporal associative memory
Explanation:
Heteroassociative memory is also known as bidirectional memory.
Question 10
Marks : +2 | -2
Pass Ratio : 10%
What are some of desirable characteristics of associative memories?
ability to store large number of patterns
fault tolerance
able to recall, even for input pattern is noisy
all of the mentioned
Explanation:
These all are desirable characteristics of associative memories.