MCQOPTIONS
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MCQOPTIONS
This section includes 8 Mcqs, each offering curated multiple-choice questions to sharpen your Artificial Intelligence knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
WHICH_IS_TRUE_FOR_NEURAL_NETWORKS??$ |
| A. | It has set of nodes and connections |
| B. | Each node computes it’s weighted input |
| C. | Node could be in excited state or non-excited state |
| D. | All of the mentioned |
| Answer» E. | |
| 2. |
Neuro_software_is:$ |
| 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 |
| Answer» C. Designed to aid experts in real world | |
| 3. |
What are the advantages of neural networks over conventional computers? |
| A. | They have the ability to learn by example |
| B. | They are more fault tolerant |
| C. | They are more suited for real time operation due to their high ‘computational’ rates |
| D. | (i) and (ii) are true |
| Answer» E. | |
| 4. |
Which of the following is true for neural networks? |
| A. | The training time depends on the size of the network. |
| B. | Neural networks can be simulated on a conventional computer. |
| C. | Artificial neurons are identical in operation to biological ones. |
| D. | All of the mentioned |
| Answer» D. All of the mentioned | |
| 5. |
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, 10, 5 and 20 respectively. The output will be: |
| A. | 238 |
| B. | 76 |
| C. | 119 |
| D. | 123 |
| Answer» B. 76 | |
| 6. |
An auto-associative network is: |
| 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 |
| Answer» C. a neural network that has only one loop | |
| 7. |
A perceptron is: |
| 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 |
| Answer» B. an auto-associative neural network | |
| 8. |
A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: |
| A. | 000 or 110 or 011 or 101 |
| B. | 010 or 100 or 110 or 101 |
| C. | 000 or 010 or 110 or 100 |
| D. | 100 or 111 or 101 or 001 |
| Answer» D. 100 or 111 or 101 or 001 | |