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: Alzaeemi, Shehab Abdulhabib, Ali Noman, Efaq, Al-shaibani, Muhanna Mohammed, Al-Gheethi, Adel, Radin Mohamed, Radin Maya Saphira, Almoheer, Reyad, Seif, Mubarak, Kim Gaik Tay, Kim Gaik Tay, Mohamad Zin, Noraziah, El Enshasy, Hesham Ali
• Format: Article
• Language: English
• Published: Mdpi 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/9203/1/J15954_e6d2f6d510e1cf566688dd574c4620cd.pdf; http://eprints.uthm.edu.my/9203/; 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 tem...