The application is launched by opening the project folder containing app.py, starting Anaconda Prompt, changing the directory to the project path, and executing the command python app.py. Flask then reports that it is serving the app in non-debug development mode on http://127.0.0.1:8000, which is subsequently opened in the browser.
Conditions: The project folder contains the executable Python source file app.py.; The user has access to Anaconda Prompt and the correct project directory path.
The application is launched by opening the project folder containing app.py, starting Anaconda Prompt, changing the directory to the project path, and executing the command python app.py. Flask then reports that it is serving the app in non-debug development mode on http://127.0.0.1:8000, which is subsequently opened in the browser.
Conditions: The project folder contains the executable Python source file app.py.; The user has access to Anaconda Prompt and the correct project directory path.
The abstract states that the GM(1,1) model has low precision for predicting violent non-stationary data series. To address this disadvantage, it proposes both a GM(1,1) improved model and a Verhulst improved model using metabolism methods.
Conditions: The comparison applies to violent changing or violent non-stationary data series.; The empirical evaluation uses traffic accident data from 1996 to 2009 of Heilongjiang Province.
The abstract states that the GM(1,1) model has low precision for predicting violent non-stationary data series. To address this disadvantage, it proposes both a GM(1,1) improved model and a Verhulst improved model using metabolism methods.
Conditions: The comparison applies to violent changing or violent non-stationary data series.; The empirical evaluation uses traffic accident data from 1996 to 2009 of Heilongjiang Province.