Prediction of xylanase optimal temperature by support vector regression
نویسندگان
چکیده
منابع مشابه
Prediction of xylanase optimal temperature by support vector regression
Background: Support vector machine (SVM), a novel powerful machine learning technology, was used to develop the non-linear quantitative structure-property relationship (QSPR) model of the G/11 xylanase based on the amino acid composition. The uniform design (UD) method was applied to optimize the running parameters of SVM for the first time. Results: Results showed that the predicted optimum te...
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ژورنال
عنوان ژورنال: Electronic Journal of Biotechnology
سال: 2012
ISSN: 0717-3458,0717-3458
DOI: 10.2225/vol15-issue1-fulltext-8