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


2. What is full form of ANNs?

A. Artificial Neural Node
B. AI Neural Networks
C. Artificial Neural Networks
D. Artificial Neural numbers

View Answer


3. How many types of Artificial Neural Networks?

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

View Answer


4. In FeedForward ANN, information flow is _________.

A. unidirectional
B. bidirectional
C. multidirectional
D. All of the above

View Answer


5. In which ANN, loops are allowed?

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

View Answer


6. Which of the following is not an Machine Learning strategies in ANNs?

A. Unsupervised Learning
B. Reinforcement Learning
C. Supreme Learning
D. Supervised Learning

View Answer


7. 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


8. Which of the following is an Applications of Neural Networks?

A. Automotive
B. Aerospace
C. Electronics
D. All of the above

View Answer


9. 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


10. What is perceptron?

A. a single layer feed-forward neural network with pre-processing
B. an auto-associative neural network
C. a double layer auto-associative neural network
D. a neural network that contains feedback

View Answer


11. 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


12. A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 3, 2 and 1 respectively. What will be the output?

A. 30
B. 40
C. 50
D. 60

View Answer


13. 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


14. What is back propagation?

A. It is another name given to the curvy function in the perceptron
B. It is the transmission of error back through the network to adjust the inputs
C. It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
D. None of the Above

View Answer


15. Neural Networks are complex ______________ with many parameters.

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

View Answer


16. The network that involves backward links from output to the input and hidden layers is called _________

A. Self organizing map
B. Perceptrons
C. Recurrent neural network
D. Multi layered perceptron

View Answer


17. 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


18. The BN variables are composed of how many dimensions?

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

View Answer


19. The output at each node is called_____.

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

View Answer


20. The first artificial neural network was invented in _____.

A. 1957
B. 1958
C. 1959
D. 1960

View Answer





Discussion


* You must be logged in to add comment.

Deepthi Puvvada
nothing