141 + Mcqs in Neural Network Page 3 McqOptions

101.	_____________ is measured by the number of mental structures we use, how abstract they are, and how elaborate they interact to shape our perceptions.
A.	intrapersonal structure
B.	perceptual set
C.	self-justification
D.	none of the above
Answer» E.

Discussion

102.	Which of the following strategies would NOT be effective at improving your communication competence?
A.	recognize the people, objects, and situations remain stable over time
B.	recognize that each personâ€™s frame of perception is unique
C.	be active in perceiving
D.	distinguish facts from inference
Answer» B. recognize that each personâ€™s frame of perception is unique

Discussion

103.	Selective retention occurs when
A.	we process, store, and retrieve information that we have already selected, organized, and interpreted
B.	we make choices to experience particular stimuli
C.	we make choices to avoid particular stimuli
D.	we focus on specific stimuli while ignoring other stimuli
Answer» B. we make choices to experience particular stimuli

Discussion

104.	What kind of perception is used in printing?
A.	optical character recognition
B.	speech recognition
C.	perception
D.	none of the mentioned
Answer» B. speech recognition

Discussion

105.	Mindless processing is
A.	careful, critical thinking
B.	inaccurate and faulty processing
C.	information processing that relies heavily on familiar schemata
D.	processing that focuses on unusual or novel events
Answer» D. processing that focuses on unusual or novel events

Discussion

106.	When you get fired from your job and you determine it is because your boss dislikes you, you are most likely exhibiting
A.	self-promotion
B.	fundamental attribution error
C.	over-attribution
D.	self-serving bias
Answer» E.

Discussion

107.	_____ prevents you from seeing an individual as an individual rather than as a member of a group.
A.	cultural mores
B.	stereotypes
C.	schematas
D.	attributions
Answer» D. attributions

Discussion

108.	Susan is so beautiful; I bet she is smart too. This is an example of
A.	the halo effect
B.	the primary effect
C.	a self-fulfilling prophecy
D.	the recency effect
Answer» B. the primary effect

Discussion

109.	The process by which you become aware of messages through your sense is called
A.	organization
B.	sensation
C.	interpretation-evaluation
D.	perception
Answer» E.

Discussion

110.	Factors which affect the performance of learner system does not include
A.	representation scheme used
B.	training scenario
C.	type of feedback
D.	good data structures
Answer» E.

Discussion

111.	What takes input as an object described by a set of attributes?
A.	tree
B.	graph
C.	decision graph
D.	decision tree
Answer» E.

Discussion

112.	What takes input as an object described bya set of attributes?
A.	tree
B.	graph
C.	decision graph
D.	decision tree
Answer» E.

Discussion

113.	What will happen if the hypothesis space contains the true function?
A.	relizable
B.	unrelizable
C.	both a & b
D.	none of the mentioned
Answer» C. both a & b

Discussion

114.	Which is used to choose among multiple consistent hypotheses?
A.	razor
B.	ockham razor
C.	learning element
D.	none of the mentioned
Answer» C. learning element

Discussion

115.	Which is used for utility functions in game playing algorithm?
A.	linear polynomial
B.	weighted polynomial
C.	polynomial
D.	linear weighted polynomial
Answer» E.

Discussion

116.	How many types are available in machine learning?
A.	1
B.	2
C.	3
D.	4
Answer» D. 4

Discussion

117.	What is used in determining the nature of the learning problem?
A.	environment
B.	feedback
C.	problem
D.	all of the mentioned
Answer» C. problem

Discussion

118.	How many things are concerned in design of a learning element?
A.	1
B.	2
C.	3
D.	4
Answer» D. 4

Discussion

119.	Which modifies the performance element so that it makes better decision?
A.	performance element
B.	changing element
C.	learning element
D.	none of the mentioned
Answer» D. none of the mentioned

Discussion

120.	What will take place as the agent observes its interactions with the world?
A.	learning
B.	hearing
C.	perceiving
D.	speech
Answer» B. hearing

Discussion

121.	Following is also called as exploratory learning:
A.	supervised learning
B.	active learning
C.	unsupervised learning
D.	reinforcement learning
Answer» D. reinforcement learning

Discussion

122.	Which of the following is the component of learning system?
A.	goal
B.	model
C.	learning rules
D.	all of the mentioned
Answer» E.

Discussion

123.	Which of the following is not an application of learning?
A.	data mining
B.	www
C.	speech recognition
D.	none of the mentioned
Answer» E.

Discussion

124.	Decision trees are appropriate for the problems where:
A.	attributes are both numeric and nominal
B.	target function takes on a discrete number of values.
C.	data may have errors
D.	all of the mentioned
Answer» E.

Discussion

125.	Following is an example of active learning:
A.	news recommendation system
B.	dust cleaning machine
C.	automated vehicle
D.	none of the mentioned
Answer» B. dust cleaning machine

Discussion

126.	Automated vehicle is an example of ______.
A.	supervised learning
B.	unsupervised learning
C.	active learning
D.	reinforcement learning
Answer» B. unsupervised learning

Discussion

127.	In which of the following learning the teacher returns reward and punishment to learner?
A.	active learning
B.	reinforcement learning
C.	supervised learning
D.	unsupervised learning
Answer» C. supervised learning

Discussion

128.	Which of the following is the model used for learning?
A.	decision trees
B.	neural networks
C.	propositional and fol rules
D.	all of the mentioned
Answer» E.

Discussion

129.	Different learning method does not include:
A.	memorization
B.	analogy
C.	deduction
D.	introduction
Answer» E.

Discussion

130.	Following are the advantage/s of Decision Trees. Choose that apply.
A.	possible scenarios can be added
B.	for data including categorical variables with different number of levels, information gain in decision trees are biased in favor of those attributes with more levels
C.	worst, best and expected values can be determined for different scenarios
D.	use a white box model, if given result is provided by a model
Answer» E.

Discussion

131.	The name for the function in question 16 is
A.	step function
B.	heaviside function
C.	logistic function
D.	perceptron function
Answer» C. logistic function

Discussion

132.	The network that involves backward links from output to the input and hidden layers is called as ____.
A.	self organizing maps
B.	perceptrons
C.	recurrent neural network
D.	multi layered perceptron
Answer» D. multi layered perceptron

Discussion

133.	Which of the following is not the promise of artificial neural network?
A.	it can explain result
B.	it can survive the failure of some nodes
C.	it has inherent parallelism
D.	it can handle noise
Answer» B. it can survive the failure of some nodes

Discussion

134.	Why are linearly separable problems of interest of neural network researchers?
A.	because they are the only class of problem that network can solve successfully
B.	because they are the only class of problem that perceptron can solve successfully
C.	because they are the only mathematical functions that are continue
D.	because they are the only mathematical functions you can draw
Answer» C. because they are the only mathematical functions that are continue

Discussion

135.	Why is the XOR problem exceptionally interesting to neural network researchers?
A.	because it can be expressed in a way that allows you to use a neural network
B.	because it is complex binary operation that cannot be solved using neural networks
C.	because it can be solved by a single layer perceptron
D.	because it is the simplest linearly inseparable problem that exists.
Answer» E.

Discussion

136.	Neuro software is:
A.	a software used to analyze neurons
B.	it is powerful and easy neural network
C.	designed to aid experts in real world
D.	it is software used by neuro surgeon
Answer» C. designed to aid experts in real world

Discussion

137.	Which is true for neural networks?
A.	it has set of nodes and connections
B.	each node computes itâ€™s weighted input
C.	node could be in excited state or non-excited state
D.	all of the mentioned
Answer» E.

Discussion

138.	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:
A.	238
B.	76
C.	119
D.	123
Answer» B. 76

Discussion

139.	An auto-associative network is:
A.	a neural network that contains no loops
B.	a neural network that contains feedback
C.	a neural network that has only one loop
D.	a single layer feed-forward neural network with pre-processing
Answer» C. a neural network that has only one loop

Discussion

140.	A perceptron is:
A.	a single layer feed-forward neural network with pre-processing
B.	an auto-associative neural network
C.	a double layer auto-associative neural network
D.	a neural network that contains feedback
Answer» B. an auto-associative neural network

Discussion

141.	A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is:
A.	000 or 110 or 011 or 101
B.	010 or 100 or 110 or 101
C.	000 or 010 or 110 or 100
D.	100 or 111 or 101 or 001
Answer» D. 100 or 111 or 101 or 001

Discussion

Explore topic-wise MCQs in Master of Science in Computer Science (M.Sc CS).

_____________ is measured by the number of mental structures we use, how abstract they are, and how elaborate they interact to shape our perceptions.

Which of the following strategies would NOT be effective at improving your communication competence?

Selective retention occurs when

What kind of perception is used in printing?

Mindless processing is

When you get fired from your job and you determine it is because your boss dislikes you, you are most likely exhibiting

_____ prevents you from seeing an individual as an individual rather than as a member of a group.

Susan is so beautiful; I bet she is smart too. This is an example of

The process by which you become aware of messages through your sense is called

Factors which affect the performance of learner system does not include

What takes input as an object described by a set of attributes?

What takes input as an object described bya set of attributes?

What will happen if the hypothesis space contains the true function?

Which is used to choose among multiple consistent hypotheses?

Which is used for utility functions in game playing algorithm?

How many types are available in machine learning?

What is used in determining the nature of the learning problem?

How many things are concerned in design of a learning element?

Which modifies the performance element so that it makes better decision?

What will take place as the agent observes its interactions with the world?

Following is also called as exploratory learning:

Which of the following is the component of learning system?

Which of the following is not an application of learning?

Decision trees are appropriate for the problems where:

Following is an example of active learning:

Automated vehicle is an example of ______.

In which of the following learning the teacher returns reward and punishment to learner?

Which of the following is the model used for learning?

Different learning method does not include:

Following are the advantage/s of Decision Trees. Choose that apply.

The name for the function in question 16 is

The network that involves backward links from output to the input and hidden layers is called as ____.

Which of the following is not the promise of artificial neural network?

Why are linearly separable problems of interest of neural network researchers?

Why is the XOR problem exceptionally interesting to neural network researchers?

Neuro software is:

Which is true for neural networks?

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:

An auto-associative network is:

A perceptron is:

A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: