Differentiation of rubber cup coagulum through machine learning

• Main Authors: Nepacina, Maria Rejane J., Foronda, J. R. F., Haygood, K. J. F., Tan, R. S., Janairo, Gerardo C., Co, Frumencio F., Bagaforo, R. O., Narvaez, T. A., Janairo, Jose Isagani B.
• Format: text
• Published: Animo Repository 2019
• Subjects: Coagulants; Coagulation; Rubber plants > Analysis; Biology
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1333
• Institution: De La Salle University

A support vector machine classification algorithm was formulated to differentiate rubber cup coagulum according to the type of acid coagulant used. Two classification models were established, a binary classification algorithm and a model that can identify if formic, acetic, sulfuric acid, or no acid...