Applying neural networks as software sensors for enzyme engineering.
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Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax esterA modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARMAn assessment of seed quality and its influence on productivity estimation in an industrial antibiotic fermentation.Application of a mechanistic model as a tool for on-line monitoring of pilot scale filamentous fungal fermentation processes-The importance of evaporation effects.Asymmetric reduction of ketones and β-keto esters by (S)-1-phenylethanol dehydrogenase from denitrifying bacterium Aromatoleum aromaticum.Soft sensor control of metabolic fluxes in a recombinant Escherichia coli fed-batch cultivation producing green fluorescence protein.
P2860
Applying neural networks as software sensors for enzyme engineering.
description
1999 nî lūn-bûn
@nan
1999 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Applying neural networks as software sensors for enzyme engineering.
@ast
Applying neural networks as software sensors for enzyme engineering.
@en
type
label
Applying neural networks as software sensors for enzyme engineering.
@ast
Applying neural networks as software sensors for enzyme engineering.
@en
prefLabel
Applying neural networks as software sensors for enzyme engineering.
@ast
Applying neural networks as software sensors for enzyme engineering.
@en
P2093
P1476
Applying neural networks as software sensors for enzyme engineering.
@en
P2093
P304
P356
10.1016/S0167-7799(98)01299-2
P577
1999-04-01T00:00:00Z