AI Neural Networks MCQ
Neural Networks MCQs : This section focuses on "Neural Networks" in Artificial Intelligence. These Multiple Choice Questions (mcq) should be practiced to improve the AI skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.
1. Who was the inventor of the first neurocomputer?
A. Dr. John Hecht-Nielsen
B. Dr. Robert Hecht-Nielsen
C. Dr. Alex Hecht-Nielsen
D. Dr. Steve Hecht-Nielsen
View Answer
Ans : B
Explanation: The inventor of the first neurocomputer, Dr. Robert Hecht-Nielsen.
2. How many types of Artificial Neural Networks?
A. 2
B. 3
C. 4
D. 5
View Answer
Ans : A
Explanation: There are two Artificial Neural Network topologies : FeedForward and Feedback.
3. In which ANN, loops are allowed?
A. FeedForward ANN
B. FeedBack ANN
C. Both A and B
D. None of the Above
View Answer
Ans : B
Explanation: FeedBack ANN loops are allowed. They are used in content addressable memories.
4. What is the full form of BN in Neural Networks?
A. Bayesian Networks
B. Belief Networks
C. Bayes Nets
D. All of the above
View Answer
Ans : D
Explanation: The full form BN is Bayesian networks and Bayesian networks are also called Belief Networks or Bayes Nets.
5. What is the name of node which take binary values TRUE (T) and FALSE (F)?
A. Dual Node
B. Binary Node
C. Two-way Node
D. Ordered Node
View Answer
Ans : B
Explanation: Boolean nodes : They represent propositions, taking binary values TRUE (T) and FALSE (F).
6. What is an auto-associative network?
A. a neural network that contains no loops
B. a neural network that contains feedback
C. a neural network that has only one loop
D. a single layer feed-forward neural network with pre-processing
View Answer
Ans : B
Explanation: An auto-associative network is equivalent to a neural network that contains feedback. The number of feedback paths(loops) does not have to be one.
7. What is Neuro software?
A. A software used to analyze neurons
B. It is powerful and easy neural network
C. Designed to aid experts in real world
D. It is software used by Neurosurgeon
View Answer
Ans : B
Explanation: Neuro software is powerful and easy neural network.
8. Neural Networks are complex ______________ with many parameters.
A. Linear Functions
B. Nonlinear Functions
C. Discrete Functions
D. Exponential Functions
View Answer
Ans : A
Explanation: Neural networks are complex linear functions with many parameters.
9. Which of the following is not the promise of artificial neural network?
A. It can explain result
B. It can survive the failure of some nodes
C. It has inherent parallelism
D. It can handle noise
View Answer
Ans : A
Explanation: The artificial Neural Network (ANN) cannot explain result.
10. The output at each node is called_____.
A. node value
B. Weight
C. neurons
D. axons
View Answer
Ans : A
Explanation: The output at each node is called its activation or node value.
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