A deep learning approach for the solution of probability density evolution of stochastic systems
Derivation of the probability density evolution provides invaluable insight into the behavior of many stochastic systems and their performance. However, for most real-time applications, numerical determination of the probability density evolution is a formidable task. The latter is due to the requir...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2022
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher |