Artificial Neural Networks for On-line Optimisation of Biotechnological Processes

Author： Kovar Karin   Kunze Axel   Gehlen Stefan  

Publisher： Swiss Chemical Society

ISSN： 0009-4293

Source： CHIMIA International Journal for Chemistry, Vol.53, Iss.11, 1999-11, pp. : 533-535

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Using artificial neural networks for process and system modelling

By Verikas A.   Bacauskiene M.  

Chemometrics and Intelligent Laboratory Systems, Vol. 67, Iss. 2, 2003-08 ,pp. : 187-191

Elsevier

Access to resources Recommend Favorite

Specialization processes in on-line unsupervised learning

By Biehl M.   Freking A.   Reents G.   Schlosser E.  

Philosophical Magazine B, Vol. 77, Iss. 5, 1998-05 ,pp. : 1487-1494

Taylor & Francis Ltd

Access to resources Recommend Favorite

On-line algorithms for networks of temporal constraints

By d'Amore F.   Iacobini F.  

Journal of Discrete Algorithms, Vol. 1, Iss. 3, 2003-06 ,pp. : 303-312

Elsevier

Access to resources Recommend Favorite

SENSORIX AG: Development, Optimization, and Control of Biotechnological Processes Through Continuous Online Analytics with Chemical Sensors and Biosensors

By Rothmaier Markus  

CHIMIA International Journal for Chemistry, Vol. 57, Iss. 6, 2003-06 ,pp. : 352-353

Swiss Chemical Society

Access to resources Recommend Favorite

Feature extraction for multisource data classification with artificial neural networks

By Benediktsson J. A.   Sveinsson J. R.  

International Journal of Remote Sensing, Vol. 18, Iss. 4, 1997-03 ,pp. : 727-740

Taylor & Francis Ltd

Access to resources Recommend Favorite