Developing an artificial neural network model for predicting the growth of Chlorella sorokiniana in a photobioreactor

• Main Authors: Magdaong, J. B., Culaba, Alvin B., Ubando, Aristotle T., Chang, J. S., Chen, W. H.
• Format: text
• Published: Animo Repository 2020
• Subjects: Chlorella sorokiniana; Biomass energy; Microalgae; Photobioreactors; Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1885; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2884/type/native/viewcontent
• Institution: De La Salle University

Microalgae have been long considered as a potential source of biofuel. Species such as Chlorella sorokiniana can store large amounts of carbohydrates and lipids which can be used to produce biofuels. This paper demonstrates a method for developing an artificial neural network model which can predict...