Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q1261: Mean Squared Error (MSE) is calculated during which phase of ANN?
- A: Feature representation
- B: Training
- C: Validation
- D: Testing
View Answer
B
Q1262: Validation data is used during training to ________.
- A: Test final accuracy
- B: Adjust weights
- C: Avoid overfitting
- D: Initialize weights
View Answer
C
Q1263: What does the radius of the neighborhood around the BMU affect?
- A: Number of clusters
- B: Weight adjustment of neighboring nodes
- C: Input size
- D: Learning rate
View Answer
B
Q1264: In the MATLAB code provided, how many features are used to represent each image?
- A: 50
- B: 100
- C: 512
- D: 1024
View Answer
B
Q1265: The MATLAB function "newff" is used to create a ________.
- A: New training set
- B: Neural network
- C: Feature vector
- D: Error metric
View Answer
B
Q1266: What training parameter defines the maximum number of iterations in the MATLAB ANN training?
- A: epochs
- B: goal
- C: learning rate
- D: momentum
View Answer
A
Q1267: Percentage accuracy on training data is calculated by comparing predicted outputs with ________.
- A: Input vectors
- B: Training labels
- C: Target data
- D: Error count
View Answer
C
Q1268: The process of grouping unlabeled data into sets based on similarity is called ________.
- A: Classification
- B: Regression
- C: Clustering
- D: Prediction
View Answer
C
Q1269: Back propagation algorithm updates weights in order to ________.
- A: Maximize error
- B: Minimize error
- C: Randomize error
- D: Ignore error
View Answer
B
Q1270: In the context of ANNs, which is NOT a typical activation function?
- A: tansig
- B: logsig
- C: linear
- D: exponential growth
View Answer
D