Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q1201: Which is NOT a characteristic of biological neural networks compared to computers?
- A: Distributed control
- B: Fault tolerance
- C: Central control
- D: Adaptability
View Answer
C
Q1202: The perceptron was first developed by ________.
- A: Alan Turing
- B: John McCarthy
- C: Marvin Minsky
- D: McCulloch and Pitts
View Answer
D
Q1203: In a single perceptron, what does each input connection have that corresponds to synaptic efficacy in biological neurons?
- A: Threshold
- B: Weight
- C: Bias
- D: Output
View Answer
B
Q1204: The output of a single perceptron neuron is 1 when the weighted sum of inputs plus bias ________.
- A: Equals zero
- B: Is less than threshold
- C: Is greater than or equal to threshold
- D: Is less than zero
View Answer
C
Q1205: Changing the bias of a neuron affects the ________.
- A: Rotation of decision line
- B: Up or down shift of decision line
- C: Number of inputs
- D: Number of outputs
View Answer
B
Q1206: Changing the weight of a neuron affects the ________.
- A: Rotation of the decision line
- B: Number of neurons
- C: Bias value
- D: Threshold value
View Answer
A
Q1207: Which of the following problems can be solved by a single layer perceptron?
- A: XOR gate
- B: Non-linear problems
- C: Linearly separable problems
- D: All logical gates
View Answer
C
Q1208: The XOR problem is an example of a ________ problem in neural networks.
- A: Linearly separable
- B: Non-linearly separable
- C: Unsolvable problem
- D: Linear regression
View Answer
B
Q1209: A single perceptron can only classify patterns that are ________.
- A: Non-linear
- B: Linearly separable
- C: Random
- D: None of the above
View Answer
B
Q1210: The decision boundary created by a single perceptron in a 2D input space is a ________.
- A: Straight line
- B: Circle
- C: Hyperbola
- D: Parabola
View Answer
A