Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q1241: Fill in the blank: In a ______ neural network, neurons are connected in a loop.
- A: Feed-forward
- B: Recurrent
- C: Single layer
- D: Multilayer
View Answer
B
Q1242: Fill in the blank: A ______ neural network has only one input layer and one output layer.
- A: Single layer
- B: Multilayer
- C: Feed-forward
- D: Recurrent
View Answer
A
Q1243: Fill in the blank: The term ______ describes the strength of connection between neurons.
- A: Synaptic weight
- B: Neuron bias
- C: Learning rate
- D: Activation function
View Answer
A
Q1244: Which of the following is a drawback of ANNs?
- A: Data dependency
- B: Excellent for classification
- C: Handles noisy data
- D: Parallel architecture
View Answer
A
Q1245: Which neural network type allows signal to flow in one direction only?
- A: Feed-forward
- B: Recurrent
- C: Partially connected
- D: Fully connected
View Answer
A
Q1246: What is NOT a component of a multilayer network?
- A: Input layer
- B: Hidden layer
- C: Decision layer
- D: Output layer
View Answer
C
Q1247: What type of learning involves given a set of example input/output pairs to find a rule predicting outputs for new inputs?
- A: Supervised learning
- B: Unsupervised learning
- C: Reinforcement learning
- D: Clustering
View Answer
A
Q1248: In unsupervised learning, data is grouped into sets called ________.
- A: Clusters
- B: Classes
- C: Rules
- D: Features
View Answer
A
Q1249: Where is knowledge primarily encoded in Artificial Neural Networks (ANNs)?
- A: In the input data
- B: In the network architecture
- C: In the weights of neurons
- D: In the output layer
View Answer
C
Q1250: Which phase of ANN design involves determining the number of features based on the problem inputs?
- A: Training
- B: Feature representation
- C: Validation
- D: Activation function
View Answer
B