Neural Networks Test 2 β Questions and Answers
Question 1: 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 answer)
Correct answer: All of the above
Explanation: <br> All of these are valid for neutral networks.
Question 2: What neural network has no hidden layers?
- Multi-layer perceptron (MLP)
- Recurrent Neural Networks
- Single-layer Perceptron (Correct answer)
- Neural Networks
Correct answer: Single-layer Perceptron
Explanation: <br> 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?
- a double layer auto-associative neural network
- a single layer feed-forward neural network with pre-processing (Correct answer)
- a neural network that contains feedback
- an auto-associative neural network
Correct answer: a single layer feed-forward neural network with pre-processing
Explanation: <br> 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:
- Has a feedback mechanism (Correct answer)
- does not have loops
- a single layer feed-forward neural network with pre-processing
- has only single loop
Correct answer: Has a feedback mechanism
Explanation: <br> 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?
- Statistical
- Association rules
- Neural network (Correct answer)
- Decision tree
Correct answer: Neural network
Explanation: <br> 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.
Question 6: In a neural network, what is known as the degree of adjustment owing to learning trial?
- Learning rate (Correct answer)
- Momentum
- Deviation rate
- Flexibility rate
Correct answer: Learning rate
Explanation: <br> 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.
Question 7: An example of which kind performs predictive modeling is
- Data Mining technique
- Data Mining process (Correct answer)
- Data Mining application
- Data Mining model
Correct answer: Data Mining process
Explanation: <br> 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.
Question 8: What does the strength of association rule that is indicated by support and
- Deviation factor
- Binding strength factor
- Depth factor
- Confidence factor (Correct answer)
Correct answer: Confidence factor
Explanation: <br> 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.
Question 9: Which types of data mining are suitable for undirected data mining?
- Neural network
- Association rules (Correct answer)
- Statistical
- Decision tree
Correct answer: Association rules
Explanation: <br> 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.
Neural Networks Test 2
Which of the following statements about neural networks is correct?