Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Miguel Ángel de Carvalho Servia"'
Publikováno v:
Digital Chemical Engineering, Vol 6, Iss , Pp 100073- (2023)
Reinforcement Learning (RL) is an effective method to solve stochastic sequential decision-making problems. This is a problem description common to supply chain operations, however, most RL algorithms are tailored for game-based benchmarks. Here, we
Externí odkaz:
https://doaj.org/article/170402890cfe4f33a8b730fbfd14cd6d
Autor:
Robin Smith, Miguel Ángel de Carvalho Servia, Dongda Zhang, Bovinille Anye Cho, Ehecatl Antonio del Rio Chanona
Publikováno v:
Cho, B A, Servia, M Á D C, Chanona, E A D R, Smith, R & Zhang, D 2021, ' Synergising biomass growth kinetics and transport mechanisms to simulate light/dark cycle effects on photo-production systems ', Biotechnology and Bioengineering . https://doi.org/10.1002/bit.27707
Light attenuation is a primary challenge limiting the upscaling of photobioreactors for sustainable bio-production. One key to this challenge, is to model and optimise the light/dark cycles so that cells within the dark region can be frequently trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0232ff628360a00a5bbdd6cd6a740dd5
https://www.research.manchester.ac.uk/portal/en/publications/synergising-biomass-growth-kinetics-and-transport-mechanisms-to-simulate-lightdark-cycle-effects-on-photoproduction-systems(25ba424d-36b5-49c5-8714-475682fdfe6d).html
https://www.research.manchester.ac.uk/portal/en/publications/synergising-biomass-growth-kinetics-and-transport-mechanisms-to-simulate-lightdark-cycle-effects-on-photoproduction-systems(25ba424d-36b5-49c5-8714-475682fdfe6d).html
