A uniform design-based back propagation neural network model for amino acid composition and optimal pH in G/11 xylanase

Journal of Chemical Technology and Biotechnology

Volumn 81, Issue 7, 2006, Pages 1185-1189

  Zhang, Guangya ^a   Fang, Baishan ^a  

^a HUAQIAO UNIVERSITY   (China)

Author keywords

Amino acid composition; Artificial neural networks; Optimal pH; Uniform design; Xylanase

Indexed keywords

BACKPROPAGATION; COMPOSITION; NEURAL NETWORKS; PH; REGRESSION ANALYSIS;

AMINO ACID COMPOSITION; OPTIMAL PH; UNIFORM DESIGN; XYLANASE;

AMINO ACIDS;

AMINO ACID; XYLAN ENDO 1,3 BETA XYLOSIDASE;

AMINO ACIDS; BACKPROPAGATION; COMPOSITION; NEURAL NETWORKS; PH; REGRESSION ANALYSIS;

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; ENZYME ENGINEERING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PH; PREDICTION; PROCESS OPTIMIZATION; REGRESSION ANALYSIS; SEQUENCE ANALYSIS;

EID: 33745596589     PISSN: 02682575     EISSN: 10974660     Source Type: Journal    
DOI: 10.1002/jctb.1510     Document Type: Article

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