"Simulateddata" Example Sentences
1. The scientist collected simulated data to test his hypothesis.
2. The computer generated the simulated data in real time.
3. The simulated data accurately reflected the behavior of the system.
4. The simulated data set was used to train the machine learning algorithm.
5. The quality of the simulated data depended on the accuracy of the model.
6. The simulated data revealed weaknesses in the design of the product.
7. The team used simulated data to estimate the performance of the new software.
8. The simulated data allowed for extensive testing without real-world consequences.
9. The simulated data showed that the results from the experiments were reliable.
10. The study relied on simulated data to draw meaningful conclusions.
11. The simulated data helped the team identify potential problems.
12. The simulated data represented the behavior of the system under specific conditions.
13. The reliability of the simulation was dependent on the quality of the simulated data.
14. The team generated the simulated data using complex algorithms.
15. The simulated data helped the researchers optimize their experiment.
16. The simulated data provided insights into the behavior of the system.
17. The team used the simulated data to create a predictive model.
18. The simulated data demonstrated the effectiveness of the proposed solution.
19. The team validated their findings using the simulated data.
20. The accuracy of the simulated data was crucial for the success of the project.
21. The simulated data was used to test the functionality of the product.
22. The reliability of the results was verified using the simulated data.
23. The team generated the simulated data to calibrate the instruments.
24. The simulated data helped the team identify the optimal configuration for the system.
25. The simulated data showed that the proposed solution was feasible.
26. The team created a detailed report based on the simulated data analysis.
27. The simulated data allowed for the testing of extreme scenarios.
28. The team needed to fine-tune the model to improve the accuracy of the simulated data.
29. The simulation software produced the simulated data sets automatically.
30. The simulated data was used to detect potential risks and mitigate them.
Common Phases
1. Generating simulated data;
2. Analyzing simulated data;
3. Visualizing simulated data;
4. Manipulating simulated data;
5. Cleaning simulated data;
6. Modeling with simulated data;
7. Comparing with simulated data;
8. Validating simulated data;
9. Optimizing simulated data;
10. Testing simulated data.