MCQOPTIONS
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MCQOPTIONS
This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Network knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
what is the another name of weight update rule in adaline model based on its functionality? |
| A. | LMS error learning law |
| B. | gradient descent algorithm |
| C. | both LMS error & gradient descent learning law |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 2. |
In adaline model what is the relation between output & activation value(x)? |
| A. | linear |
| B. | nonlinear |
| C. | can be either linear or non-linear |
| D. | none of the mentioned |
| Answer» B. nonlinear | |
| 3. |
What was the main point of difference between the adaline & perceptron model? |
| A. | weights are compared with output |
| B. | sensory units result is compared with output |
| C. | analog activation value is compared with output |
| D. | all of the mentioned |
| Answer» D. all of the mentioned | |
| 4. |
who invented the adaline neural model? |
| A. | Rosenblatt |
| B. | Hopfield |
| C. | Werbos |
| D. | Widrow |
| Answer» E. | |
| 5. |
What is adaline in neural networks? |
| A. | adaptive linear element |
| B. | automatic linear element |
| C. | adaptive line element |
| D. | none of the mentioned |
| Answer» B. automatic linear element | |
| 6. |
If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be represented? |
| A. | na(i) |
| B. | n^ |
| C. | ^a(i) |
| D. | none of the mentioned |
| Answer» E. | |
| 7. |
What is delta (error) in perceptron model of neuron? |
| A. | error due to environmental condition |
| B. | difference between desired & target output |
| C. | can be both due to difference in target output or environmental condition |
| D. | none of the mentioned |
| Answer» B. difference between desired & target output | |
| 8. |
What was the main deviation in perceptron model from that of MP model? |
| A. | more inputs can be incorporated |
| B. | learning enabled |
| C. | all of the mentioned |
| D. | none of the mentioned |
| Answer» C. all of the mentioned | |
| 9. |
What was the 2nd stage in perceptron model called? |
| A. | sensory units |
| B. | summing unit |
| C. | association unit |
| D. | output unit |
| Answer» D. output unit | |
| 10. |
Who invented perceptron neural networks? |
| A. | McCullocch-pitts |
| B. | Widrow |
| C. | Minsky & papert |
| D. | Rosenblatt |
| Answer» E. | |