MCQOPTIONS
Saved Bookmarks
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. |
DENDRAL is an example for expert system. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 2. |
Which among the following is considered as disadvantage of expert system? |
| A. | Fast prototyping |
| B. | Development process |
| C. | Maintenance |
| D. | Knowledge acquisition |
| Answer» E. | |
| 3. |
What are the two major units of expert systems? |
| A. | Knowledge base and performance engine |
| B. | Performance engine and inference engine |
| C. | Radio base and performance engine |
| D. | Knowledge base and inference engine |
| Answer» E. | |
| 4. |
Which among the following is used expert systems? |
| A. | If-then rules |
| B. | Arithmetic rules |
| C. | Logical rules |
| D. | Procedure rules |
| Answer» B. Arithmetic rules | |
| 5. |
Expert system is a computer system capable of resolving _____ problems. |
| A. | recognition |
| B. | decision making |
| C. | transfer |
| D. | storage |
| Answer» C. transfer | |
| 6. |
The process of computing the ____ of variables when provided with supporting conditions is called ____ |
| A. | prior distribution, probabilistic inference |
| B. | posterior distribution, probabilistic inference |
| C. | prior distribution, probabilistic query |
| D. | posterior distribution, probabilistic query |
| Answer» C. prior distribution, probabilistic query | |
| 7. |
Which among the following is not represented by node in Bayesian network? |
| A. | Latent variables |
| B. | Observable variables |
| C. | Hypotheses |
| D. | Conditions |
| Answer» E. | |
| 8. |
Bayesian network that models speech signals are called ____ |
| A. | signal Bayesian network |
| B. | sequential Bayesian network |
| C. | series Bayesian network |
| D. | dynamic Bayesian network |
| Answer» E. | |
| 9. |
Bayesian network can match ____ with ____ |
| A. | an incident, probable cause |
| B. | a definite cause, probable consequence |
| C. | a incident, similar incident |
| D. | a cause, similar cause |
| Answer» B. a definite cause, probable consequence | |
| 10. |
Bayesian networks uses ____ |
| A. | directed cyclic graph |
| B. | directed acyclic graph |
| C. | undirected cyclic graph |
| D. | undirected acyclic graph |
| Answer» C. undirected cyclic graph | |