Neural Networks Test 2

Question 1

Which of the following statements about neural networks is correct?

Accepted Answer

All of the above

Answer

They mimic the way the human brain works.

Answer

In comparison to conventional computers, neural networks can solve complicated problems and have faster processing rates.

Answer

They learn by example.

Question 2

What neural network has no hidden layers?

Accepted Answer

Single-layer Perceptron

Answer

Multi-layer perceptron (MLP)

Answer

Recurrent Neural Networks

Answer

Neural Networks

Question 3

What distinguishes a perceptron?

Accepted Answer

a single layer feed-forward neural network with pre-processing

Answer

a double layer auto-associative neural network

Answer

a neural network that contains feedback

Answer

an auto-associative neural network

Question 4

An auto-associative network is defined as:

Accepted Answer

Has a feedback mechanism

Answer

does not have loops

Answer

a single layer feed-forward neural network with pre-processing

Answer

has only single loop

Question 5

Which of the following is a genetic algorithm equivalent?

Accepted Answer

Neural network

Answer

Statistical

Answer

Association rules

Answer

Decision tree

Question 6

In a neural network, what is known as the degree of adjustment owing to learning trial?

Accepted Answer

Learning rate

Answer

Momentum

Answer

Deviation rate

Answer

Flexibility rate

Question 7

An example of which kind performs predictive modeling is

Accepted Answer

Data Mining process

Answer

Data Mining technique

Answer

Data Mining application

Answer

Data Mining model

Question 8

What does the strength of association rule that is indicated by support and

Accepted Answer

Confidence factor

Answer

Deviation factor

Answer

Binding strength factor

Answer

Depth factor

Question 9

Which types of data mining are suitable for undirected data mining?

Accepted Answer

Association rules

Answer

Neural network

Answer

Statistical

Answer

Decision tree