Literature DB >> 14538125

Applications of neural networks to recovery of biological products.

P R Patnaik1.   

Abstract

Artificial neural networks (ANN) are being applied to recovery of products from fermentation broths. Recovery methods for which mathematical models are complex or non-existent are particularly suitable for control and analysis by ANNs. Use and potential of artificial neural networks for product recovery applications are reviewed.

Year:  1999        PMID： 14538125     DOI： 10.1016/s0734-9750(99)00013-0

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN： 0734-9750            Impact factor:   14.227


  3 in total

1.  Artificial neural network-based model for the prediction of optimal growth and culture conditions for maximum biomass accumulation in multiple shoot cultures of Centella asiatica.

Authors:  Archana Prasad; Om Prakash; Shakti Mehrotra; Feroz Khan; Ajay Kumar Mathur; Archana Mathur
Journal:  Protoplasma       Date:  2016-04-11       Impact factor: 3.356

2.  A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture.

Authors:  Mina Salehi; Siamak Farhadi; Ahmad Moieni; Naser Safaie; Mohsen Hesami
Journal:  Plant Methods       Date:  2021-02-05       Impact factor: 4.993

3.  Predicting In vitro Culture Medium Macro-Nutrients Composition for Pear Rootstocks Using Regression Analysis and Neural Network Models.

Authors:  S Jamshidi; A Yadollahi; H Ahmadi; M M Arab; M Eftekhari
Journal:  Front Plant Sci       Date:  2016-03-29       Impact factor: 5.753
  3 in total

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