کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6483922 1415979 2018 29 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A deep learning based data driven soft sensor for bioprocesses
ترجمه فارسی عنوان
اطلاعات عمیق مبتنی بر سنسور نرم برای سنسورهای بیولوژیکی رانده شده است
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی
Developing accurate and robust sensors for nonlinear and highly varying systems is a challenge. Deep learning, an advanced technique to learn deep architectures, has become a popular training strategy while dealing with complex problems. In this paper, deep learning has been introduced to develop data driven soft sensors for estimating crucial parameters in two fermentation processes, namely, Streptokinase and Penicillin. Additionally, the performance of the developed soft sensor is compared to an SVR based soft sensor. The results clearly indicate that deep learning is an attractive alternative to traditional techniques for soft sensor modelling as it represents nonlinear systems better, makes full advantage of process data by also incorporating unlabelled data and handles large datasets efficiently. Deep learning proves to be a promising technique for soft sensor modelling in highly data driven complex bioprocesses.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biochemical Engineering Journal - Volume 136, 15 August 2018, Pages 28-39
نویسندگان
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