Deep abstractions of chemical reaction networks

DOI10.1007/978-3-319-99429-1_2zbMath1397.92272OpenAlexW2888721264MaRDI QIDQ1796481

Luca Bortolussi, Luca Palmieri

Publication date: 17 October 2018

Full work available at URL: http://hdl.handle.net/11368/2931410

zbMATH Keywords

stochastic simulationmodel abstractionchemical reaction networksdeep learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Systems biology, networks (92C42)

Related Items (3)

Abstraction of Markov population dynamics via generative adversarial nets ⋮ Generative abstraction of Markov population processes ⋮ Automated deep abstractions for stochastic chemical reaction networks

This page was built for publication: Deep abstractions of chemical reaction networks