01454nas a2200157   4500008004100000245006500041210006500106260000800171300001000179490000800189520094300197100002201140700002001162700001801182856009601200       2018                        eng d00aDeep learning based data driven soft sensor for bioprocesses0 aDeep learning based data driven soft sensor for bioprocesses  cAUG  a28-390 v1363 a<p>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.</p>1 aGopakumar, Vineet1 aTiwari, Sarthak1 aRahman, Imran  uhttps://library.ncl.res.in/content/deep-learning-based-data-driven-soft-sensor-bioprocesses