Neural Networks Test 2

Which of the following statements about neural networks is correct?

They mimic the way the human brain works.

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

They learn by example.

All of the above

Correct! Wrong!

Explanation:
All of these are valid for neutral networks.

What neural network has no hidden layers?

Multi-layer perceptron (MLP)

Recurrent Neural Networks

Single-layer Perceptron

Neural Networks

Correct! Wrong!

Explanation:
A single-layer neural network is the simplest type of neural network, with only one layer of input nodes sending weighted inputs to a later layer of receiving nodes, or in certain situations, to only one receiving node.

What distinguishes a perceptron?

a double layer auto-associative neural network

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

a neural network that contains feedback

an auto-associative neural network

Correct! Wrong!

Explanation:
In an artificial neural network, a perceptron is a basic model of a biological neuron. Perceptron is also the name of an early algorithm for binary classifier supervised learning. The perceptron method was created to classify visual inputs by dividing individuals into two classes and drawing a line between them.

An auto-associative network is defined as:

Has a feedback mechanism

does not have loops

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

has only single loop

Correct! Wrong!

Explanation:
A neural network with feedback is the same as an auto-associative network. It is not necessary to have only one feedback path (loop)

Which of the following is a genetic algorithm equivalent?

Statistical

Association rules

Neural network

Decision tree

Correct! Wrong!

Explanation:
Both genetic algorithms (GAs) and neural networks (NNs) are biologically inspired methodologies, hence they are similar. This resemblance inspires us to construct a combination of the two to see if a GA can accurately teach NNs.

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

Learning rate

Momentum

Deviation rate

Flexibility rate

Correct! Wrong!

Explanation:
The learning rate is a modest positive hyperparameter used in neural network training that has an adjustable value between 0.0 and 1.0. The learning rate determines how quickly the model adapts to the situation.

An example of which kind performs predictive modeling is

Data Mining technique

Data Mining process

Data Mining application

Data Mining model

Correct! Wrong!

Explanation:
The technique of gathering and extracting data using an artificial neural network to recognize existing patterns in a database is known as neural network data mining. Artificial neural networks (ANNs) are networks that mimic biological neural networks, such as the ones found in the human body.

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

Deviation factor

Binding strength factor

Depth factor

Confidence factor

Correct! Wrong!

Explanation:
The support and confidence in an association rule can be used to determine its strength. The frequency with which a rule applies to a specific situation is determined by support.

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

Neural network

Association rules

Statistical

Decision tree

Correct! Wrong!

Explanation:
An undirected data mining technique called association rules reveals patterns in which things are commonly sold together. This data could be utilized to promote cross-selling and increase order quantities. The business goals themselves may be a little hazy at times, and data mining is a means to refine them.

Which of the following statements about neural networks is correct?

What neural network has no hidden layers?

What distinguishes a perceptron?

An auto-associative network is defined as:

Which of the following is a genetic algorithm equivalent?

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

An example of which kind performs predictive modeling is

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

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

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