HIGHLIGHTS
- who: Jiefan Zhu and collaborators from the College of Systems Engineering, National University of Defense Technology, Changsha, China have published the paper: Dynamic Parameter Calibration Framework for Opinion Dynamics Models, in the Journal: Entropy 2022, 24, 1112. of /2022/
- what: To solve this problem the authors propose a dynamic framework that combines a genetic algorithm and a pArticle filter algorithm to dynamically calibrate the parameters of the opinion dynamics model. The authors design a fitness function in accordance with public opinion and search for a set of model parameters that best match the initial observation . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.