AI Neural Networks MCQ

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

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2. How many types of Artificial Neural Networks?

A. 2
B. 3
C. 4
D. 5

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3. In which ANN, loops are allowed?

A. FeedForward ANN
B. FeedBack ANN
C. Both A and B
D. None of the Above

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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

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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

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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

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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

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8. Neural Networks are complex ______________ with many parameters.

A. Linear Functions
B. Nonlinear Functions
C. Discrete Functions
D. Exponential Functions

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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

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10. The output at each node is called_____.

A. node value
B. Weight
C. neurons
D. axons

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