Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Genetic Algorithm (RBFNN-GA)

• Main Authors: Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Efaq Ali Noman, Efaq Ali Noman, Muhanna Mohammed Al-shaibani, Muhanna Mohammed Al-shaibani, Adel Al-Gheethi, Adel Al-Gheethi, Radin Mohamed, Radin Maya Saphira, Reyad Almoheer, Reyad Almoheer, Mubarak Seif, Mubarak Seif, Kim Gaik Tay, Kim Gaik Tay, Mohamad Zin, Noraziah, Hesham Ali El Enshasy, Hesham Ali El Enshasy
• Format: Article
• Language: English
• Published: Mdpi 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/10324/1/J15954_e6d2f6d510e1cf566688dd574c4620cd.pdf; http://eprints.uthm.edu.my/10324/; https://doi.org/10.3390/fermentation9030200

The present study aimed to optimize the production of L-asparaginase from Aspergillus arenarioides EAN603 in submerged fermentation using a radial basis function neural network with a specific genetic algorithm (RBFNN-GA) and response surface methodology (RSM). Independent factors used included temp...