MCQOPTIONS
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MCQOPTIONS
This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Cognitive Radio knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
A hidden Markov model can be considered a generalisation of mixture model. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 2. |
Which among the following is not commonly determined by using hidden Markov model? |
| A. | Channel transition probabilities |
| B. | Decision making in cellular network |
| C. | Channel quality |
| D. | Signal classification |
| Answer» E. | |
| 3. |
What does the term hidden refer to in hidden Markov model technique? |
| A. | Parameters of input |
| B. | Sate sequence |
| C. | Parameters of model |
| D. | Fixed standards of model |
| Answer» C. Parameters of model | |
| 4. |
In ____ time, Markov chain is called as ____ |
| A. | continuous, Markov process |
| B. | discrete, Markov process |
| C. | continuous, Bayesian process |
| D. | discrete, Bayesian process |
| Answer» B. discrete, Markov process | |
| 5. |
Which among the following maybe used for modulation detection in neural networks? |
| A. | Phase based probability |
| B. | Time based probability |
| C. | Time based statistics |
| D. | Phase based statistics |
| Answer» D. Phase based statistics | |
| 6. |
What is the terminology used to describe the connection where a set of neuron in one layer is connected to one neuron in the next layer? |
| A. | Fully connected |
| B. | Partially connected |
| C. | Splitting |
| D. | Pooling |
| Answer» E. | |
| 7. |
What function calculates the value to be given as input to a neuron based on the output obtained by the last processed neuron? |
| A. | Correlation |
| B. | Direction |
| C. | Propagation |
| D. | Signalling |
| Answer» D. Signalling | |
| 8. |
What type of approach do artificial neurons employ for computation? |
| A. | Comparative |
| B. | Connectionistic |
| C. | Conservative |
| D. | Condensed |
| Answer» C. Conservative | |
| 9. |
What type of connection is present between nodes in neural networks? |
| A. | Sampled |
| B. | Not weighted |
| C. | Weighted |
| D. | Non-existent |
| Answer» D. Non-existent | |
| 10. |
Which among the following is the basic component of artificial neural networks? |
| A. | Motors |
| B. | Neurons |
| C. | Nephrons |
| D. | Nuclei |
| Answer» C. Nephrons | |