Neural Networks MCQs

By: Prof. Dr. Fazal Rehman | Last updated: April 29, 2025

1. : Which of the following neural network is an auto-associative network?
(A) that has no loops
(B) that has feedback
(C) that has only one loop
(D) a single layer feed-forward neural network with pre-processing

2. : Which of the following is true for neural networks?
(A) It has a set of nodes and connections
(B) Each node computes its weighted input
(C) A node could be in an excited state or non-excited state
(D) All of these

3. : Which of the following is a Neuro software?
(A) Software used to analyze neurons
(B) Designed to help experts in the real world
(C) It is a strong and easy neural network
(D) It is software used by Neurosurgeon

4. : Which of the following is perceptron?
(A) a neural network that contains feedback
(B) an auto-associative neural network
(C) a double layer auto-associative neural network
(D) a single layer feed-forward neural network with pre-processing

5. : Which of the following statement is true?
Single-layer associative neural networks do not have the capability to:
(X) perform pattern recognition
(Y) find the parity of a picture
(Z) decide whether two or more than two shapes in a picture are linked or not

6. : Which of the following are the advantages of neural networks over conventional computers?
(A) (X) and (Y) is true
(B) (X) and (Z) are true
(C) Only (X)
(D) All of these

7. : Suppose we have an audio clip of speaking of a person, then determine the textual representation of the speech.
(A) Speech-to-text
(B) Text-to-speech
(C) All of these
(D) None of these

8. : In linguistic morphology, which of the following is the process for the reduction of inflected words to their root form?
(A) Rooting
(B) Text-Proofing
(C) Stemming
(D) Both Rooting and Stemming

9. : Parts-of-Speech tagging determines which of the following?
(A) part-of-speech for each word dynamically as per the meaning of the sentence
(B) part-of-speech for each word dynamically as per sentence structure
(C) all part-of-speech for a specific word given as input
(D) All of these