Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q1221: Which of the following is a function of the activation function in a perceptron?
- A: To compute weighted sum
- B: To apply threshold
- C: To produce output based on activation level
- D: To add bias
View Answer
C
Q1222: The perceptron firing rule outputs 0 if the weighted sum plus bias ________.
- A: Is greater than threshold
- B: Is less than threshold
- C: Equals threshold
- D: Is greater than zero
View Answer
B
Q1223: An example of a linearly separable logical gate is ________.
- A: XOR
- B: AND
- C: NOT
- D: NAND
View Answer
B
Q1224: What do multiple layers of perceptrons introduce to solve problems like XOR?
- A: One decision line
- B: Multiple decision lines
- C: No decision lines
- D: Random decision lines
View Answer
B
Q1225: Each neuron in the hidden layer of a multilayer perceptron is responsible for what?
- A: A different output
- B: A different input
- C: A different decision line
- D: A different weight
View Answer
C
Q1226: Multiple layer perceptrons can construct which type of decision boundaries?
- A: Linear
- B: Non-linear
- C: Circular
- D: Square
View Answer
B
Q1227: Artificial Neural Networks resemble the brain because knowledge is acquired through ______.
- A: A fixed program
- B: A training process
- C: Random guessing
- D: Manual coding
View Answer
B
Q1228: What stores the knowledge in artificial neural networks?
- A: Synaptic weights
- B: Memory registers
- C: Hardcoded rules
- D: Database
View Answer
A
Q1229: Knowledge in artificial neural networks is ______ and distributed.
- A: Explicit
- B: Implicit
- C: Random
- D: Fixed
View Answer
B
Q1230: Which is NOT an advantage of Artificial Neural Networks?
- A: Excellent for pattern recognition
- B: Handles noisy data well
- C: Requires no data
- D: Good for generalization
View Answer
C