Improved Pullulan Production and Process Optimization Using Novel GA–ANN and GA–ANFIS Hybrid Statistical Tools

Improved Pullulan Production and Process Optimization Using Novel GA–ANN and GA–ANFIS Hybrid Statistical Tools

Pullulan production from <i>Aureobasidium pullulans</i> was explored to increase yield. Non-linear hybrid mathematical tools for optimization of process variables as well as the pullulan yield were analyzed. The one variable at a time (OVAT) approach was used to optimize the maximum pull...

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Bibliographic Details
Main Authors: Parul Badhwar, Ashwani Kumar, Ankush Yadav, Punit Kumar, Ritu Siwach, Deepak Chhabra, Kashyap Kumar Dubey
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Biomolecules
Subjects:
pullulan
genetic algorithm
artificial neural network
fermentation
Online Access:https://www.mdpi.com/2218-273X/10/1/124

Internet

https://www.mdpi.com/2218-273X/10/1/124

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