Massive computational acceleration by using neural networks to emulate mechanism-based biological models
Mechanistic models provide valuable insights, but large-scale simulations are computationally expensive. Here, the authors show that it is possible to explore the dynamics of a mechanistic model over a large set of parameters by training an artificial neural network on a smaller set of simulations.
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2019
|
| Subjects: | |
| Online Access: | https://doaj.org/article/ca202084bd924cf29c6afd7e9e5166b7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|