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diff --git a/biblio/14677708.mdwn b/biblio/14677708.mdwn
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+[[!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 f54dc076f5c775b7eb3cd0aadd428ea0d8327922..a2fa63a6af4e0230844d89ae585bcf49795e888a 100644 (file)
--- 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)"]]