From: Charles Plessy Date: Wed, 7 Sep 2022 01:01:41 +0000 (+0900) Subject: Screens X-Git-Url: https://source.charles.plessy.org/?a=commitdiff_plain;h=5e029efabeb1024c95e2e838e1b99921d5b99446;p=source.git Screens --- diff --git a/biblio/14677708.mdwn b/biblio/14677708.mdwn new file mode 100644 index 00000000..77a3f875 --- /dev/null +++ b/biblio/14677708.mdwn @@ -0,0 +1,10 @@ +[[!meta title="Optimization of a fermentation medium using neural networks and genetic algorithms"]] +[[!tag method screen model machine learning]] + +Nagata Y, Chu KH + +Biotechnol Lett. 2003 Nov;25(21):1837-42. doi:10.1023/a:1026225526558 + +Optimization of a fermentation medium using neural networks and genetic algorithms + +[[!pmid 14677708 desc="Fermentation reaction producing hydantoinase. Four reagent concentrations can vary: molasses, NH4NO3, NaH2PO4 and MnCl2. Data from 27 experiments was used to train a 4-6-1 neural network, and data from 3 other experiments was used to validate it. A genetic algorithm was used to screen the predictions of the network for optimal fermentation. It converged after 200–500 generations."]] diff --git a/biblio/27180805.mdwn b/biblio/27180805.mdwn index f54dc076..a2fa63a6 100644 --- a/biblio/27180805.mdwn +++ b/biblio/27180805.mdwn @@ -9,4 +9,4 @@ Hope JJ, Robins NP, Hush MR. Fast machine-learning online optimization of ultra-cold-atom experiments. -[[!pmid desc="Primary paper for https://github.com/michaelhush/M-LOOP (Machine-learning online optimization package)"]] +[[!pmid 27180805 desc="Primary paper for https://github.com/michaelhush/M-LOOP (Machine-learning online optimization package)"]]