Neural Networks Test 2

Question 1

Which of the following statements about neural networks is correct?

Accepted Answer

All of the above

Answer

Explanation:
All of these are valid for neutral networks.

Question 2

What neural network has no hidden layers?

Accepted Answer

Single-layer Perceptron

Answer

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.

Question 3

What distinguishes a perceptron?

Accepted Answer

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

Answer

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.

Question 4

An auto-associative network is defined as:

Accepted Answer

Has a feedback mechanism

Answer

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)

Question 5

Which of the following is a genetic algorithm equivalent?

Accepted Answer

Neural network

Answer

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.

Neural Network Practice Test

Neural Network Practice Test

Neural Networks Test 2