WorksheetsCognitions 2.0#7
Total questions: 20
Worksheet time: 10mins
Which 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 c only
a and b only
A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalisation, the output will be zero when and only when the input is:
000 or 110 or 011 or 101
010 or 100 or 110 or 101
000 or 010 or 110 or 100
100 or 110 or 001 or 101
A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be:
238
76
119
101
Which of the following is true?
Single layer associative neural networks do not have the ability to:
(i) perform pattern recognition
(ii) find the parity of a picture
(iii)determine whether two or more shapes in a picture are connected or not
Only(ii) and (iii) are true
Only(ii) is true
(i), (ii) and (iii) are true
Only (i) is true
Which of the following is true?
(i) On average, neural networks have higher computational rates than conventional computers.
(ii) Neural networks learn by example.
(iii) Neural networks mimic the way the human brain works.
(i), (ii) and (iii) are true
(ii) and (iii) are true, (i) is false
(i) and (iii) are true , (ii) is false
(i), (ii) and (iii) are false
Which of the following is true for neural networks?
(i) The training time depends on the size of the network.
(ii) Neural networks can be simulated on a conventional computer.
(iii)Artificial neurons are identical in operation to biological ones.
all of them are true.
(ii) is true.
(i) and (ii) are true.
(i) is true
Which of the following is not an example of an unsupervised neural network?
Self-organising feature map
Hebb network
Both 1 and 2
Back Propagation network
Which boolean operation on two variables can be represented by a single perceptron layer?
A) X1 AND X2
B) X1 OR X2
C) X1 NOR X2
D) X1 XOR X2
D only
C and D only
A,B and C only
A,B,C and D only
What does RNN stand for?
Recurring Neural
NetworkRemovable Neural Network
Recurrent Neural Network
None
Given below are two statements:
If two variables V1 and V2 are used for clustering, then consider the following statements for k means clustering with k = 3:
Statement I: If V1 and V2 have a correlation of 1 the cluster centroid will be in a straight line.
Statement II: If V1 and V2 have a correlation of 0 the cluster centroid will be in a straight line.
In light of the above statements. choose the correct answer from the options given below
Both Statement I and Statement II are true
Both Statement I and Statement II are false
Statement I is correct but Statement II is false
Statement I is incorrect but Statement II is true
In neural network, the network capacity is defined as
The traffic carry capacity of the network
The total number of nodes in the network
The number of patterns that can be stored and recalled in a network
None of the above
What is the auto association task in a neural network?
input pattern keeps on changing
output pattern keeps on changing
input pattern has become static
None
What is the objective of linear auto-associative 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
How are input layer units connected to the second layer in competitive learning networks?
feedforward manner
feedback manner
feedforward and feedback
feedforward or feedback
What are models in Neural Networks?
representation of biological neural networks
mathematical representation of our understanding
both first and second
none of the above
What is Plasticity in Neural networks?
input pattern has become static
input pattern keeps on changing
output pattern keeps on changing
none of the above
Artificial Neural Network is based on which approach?
Weak Artificial Intelligence approach
Cognitive Artificial Intelligence approach
Strong Artificial Intelligence approach
Applied Artificial Intelligence approach
Which one of the following is a blind search?
Depth-search first
Best-first-search
Depth-first-search
Best-search-first
Among the following which type of neural network architectures are used for pattern recognition?
Kohonen SOM
Radial Basis Function Network
Multilayer Perception
All of the above
What is hebb’s rule of learning?
the system learns from its past mistakes
the system recalls previous reference inputs & respective ideal
outputs
the strength of neural connection get modified accordingly
none of the above
