Microfluidic Injector Models Based On Neural Networks

@inproceedings{Magargle2005MicrofluidicIM,
  title={Microfluidic Injector Models Based On Neural Networks},
  author={Ryan Magargle and James F. Hoburg and Tamal Mukherjee},
  year={2005}
}
A functional modeling technique is developed for components of a microfluidic system and applied to three common injector topologies. This technique uses sparse numerical simulation to train a neural network to provide compact, explicit, and accurate component models. The resulting models are compatible with analytic system simulation environments, making complex design synthesis and optimization feasible, unlike standard techniques using computationally expensive numerical simulation. The… CONTINUE READING

References

Publications referenced by this paper.

Neural Networks for Pattern Recognition

  • C. M. Bishop
  • 1995
2 Excerpts

Similar Papers

Loading similar papers…