Literature DB >> 8791334

Knowledge-based systems, artificial neural networks and pattern recognition: applications to biotechnological processes.

R Kamimura1, K Konstantinov, G Stephanopoulos.   

Abstract

Recent years have witnessed the increasing application of artificial intelligence techniques, specifically, knowledge-based systems, artificial neural networks, and pattern recognition, to biotechnological processes. Although progress has been made in simple control applications, more work is needed to establish the advantages of these techniques for industrial process control, for diagnosis/monitoring, and to upgrade the information content of historical data.

Mesh:

Year:  1996        PMID: 8791334     DOI: 10.1016/s0958-1669(96)80018-8

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  2 in total

1.  High-throughput workflow for monitoring and mining bioprocess data and its application to inferring the physiological response of Escherichia coli to perturbations.

Authors:  Stéphanie Heux; Benjamin Philippe; Jean-Charles Portais
Journal:  Appl Environ Microbiol       Date:  2011-08-12       Impact factor: 4.792

2.  The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm.

Authors:  Feng Su; Peijiang Yuan; Yangzhen Wang; Chen Zhang
Journal:  Protein Cell       Date:  2016-08-09       Impact factor: 14.870

  2 in total

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