Compressive strength prediction of ternary blended geopolymer concrete using artificial neural networks and support vector regression

• Main Authors: Yaswanth K.K., Sathish Kumar V., Revathy J., Murali G., Pavithra C.
• Other Authors: 57202802846
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2025

The development of ternary blended geopolymers is one of the recent advancements in geopolymer concrete technology, which utilizes different source materials in various proportions. The researches based on the behavior of ternary blended geopolymers are very limited. A new attempt has been made in t...