Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q1251: What is the goal of training in neural networks?
- A: To find the best hypothesis fitting most training examples
- B: To memorize training data
- C: To generate random outputs
- D: To increase network size
View Answer
A
Q1252: Which function is commonly used to measure total error during neural network training?
- A: Mean Absolute Error
- B: Cross Entropy
- C: Mean Squared Error
- D: Root Mean Squared Error
View Answer
C
Q1253: During training, what method helps avoid overfitting by dividing training data into k sets?
- A: Validation
- B: Clustering
- C: Randomization
- D: Weight updation
View Answer
A
Q1254: What is a common stopping criterion in ANN training?
- A: Minimum Mean Squared Error threshold
- B: Maximum number of epochs
- C: Both A and B
- D: None of these
View Answer
C
Q1255: A network that correctly generalizes input-output relationships for unseen data is said to have good ________.
- A: Validation
- B: Training
- C: Generalization
- D: Clustering
View Answer
C
Q1256: Which algorithm randomizes weights to small positive and negative values initially?
- A: Gradient Descent
- B: Back Propagation
- C: K-means Clustering
- D: Decision Tree
View Answer
B
Q1257: In backpropagation, the error is the difference between the desired output and the ________.
- A: Input vector
- B: Network output
- C: Weight vector
- D: Learning rate
View Answer
B
Q1258: In unsupervised learning, what is the "Best Matching Unit" (BMU)?
- A: The node closest to the input vector
- B: The node with the highest weight
- C: The node with the lowest error
- D: The node with the smallest radius
View Answer
A
Q1259: Which type of neural network is used for clustering and function approximation?
- A: Feedforward
- B: Convolutional
- C: Self-organizing
- D: Recurrent
View Answer
C
Q1260: Fill in the blank: The process of adjusting weights in a neural network during training is called ________.
- A: Activation
- B: Weight updation
- C: Validation
- D: Initialization
View Answer
B