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Typically,the input-output transformation process at the individual neuron level is performed in a linear fashion.

A) True
B) False

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The way that information is processed by the neural network is a function of its ________.


A) composition
B) formation
C) structure
D) makeup

E) A) and D)
F) C) and D)

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In neural network,larger data sets increase processing time during training but improve the accuracy of the training and often lead to faster convergence to a good set of weights.

A) True
B) False

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List the procedures of the learning algorithm.

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•Initialize weights with random values a...

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Which of the following is the reason why neural networks have been applied in business classification problems?


A) Able to learn the data
B) Able to learn the models' nonparametric nature
C) Its ability to generalize
D) All of the above

E) A) and D)
F) None of the above

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The processing elements (PE)of an ANN are artificial neurons,which receive inputs,process them,and deliver outputs.

A) True
B) False

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The information processing in neural networks makes it attractive for solving complex problems.

A) True
B) False

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The ways neurons are organized are referred to as ________.


A) topologies
B) contour
C) formation
D) configuration

E) None of the above
F) A) and D)

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The summation function computes the ________ sums of all the input elements entering each processing element.


A) weighted
B) averaged
C) total
D) aggregated

E) A) and B)
F) A) and C)

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The human brain is composed of special cells called neurons.Neural networks are composed of interconnected processing elements called artificial neurons.

A) True
B) False

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Each biological neuron possesses axons and ________,finger-like projections that enable the neuron to communicate with its neighboring neurons by transmitting and receiving electrical and chemical signals.

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Pioneers McCulloch and Pitts built their neural network model using a large number of interconnected ________ artificial neurons.


A) dual
B) binary
C) singular
D) serial

E) A) and D)
F) B) and C)

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A general Hopfield network is a single large layer of neurons with total interconnectivity.

A) True
B) False

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The early neural network model is called ________.

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The connection weights express the ________ of the input data.


A) significance
B) value
C) mathematical value
D) worth

E) None of the above
F) A) and B)

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The output of neurons can be the final result or it can be ________ to other neurons.


A) sources
B) contributions
C) keys
D) inputs

E) A) and B)
F) C) and D)

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List the relationships between biological and artificial networks.

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BiologicalArtificial SomaNode ...

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Sigmoid function is an S-shaped transfer function in the range of 0 to 1 and is also a useful ________ transfer function.


A) integer
B) binary
C) linear
D) nonlinear

E) A) and B)
F) A) and C)

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Briefly describe backpropagation.

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It is the most widely used supervised le...

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Several types of data,such as text,pictures,and voice,can be used as inputs in network information processing.

A) True
B) False

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