MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017950 A) filed by Vidyavardhaka College Of Engineering, Mysuru, Karnataka, on Feb. 18, for 'hybrid neuro-fuzzy and gradient boosting intelligence system for concrete strength prediction with adaptive synergetic optimization.'
Inventor(s) include Swathi B. H.; A. B. Rajendra; and Rajeeth T. J.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a hybrid artificial intelligence-based system for predicting the compressive strength of concrete mixes, combining an Adaptive Neuro-Fuzzy Inference System (ANFIS), a Gradient Boosting Machine (GBM), and a novel Adaptive Synergetic Parameter Optimization (ASPO) module. The ANFIS component provides interpretability by generating fuzzy rules from input parameters such as cement content, water-cement ratio, and curing time, while the GBM ensures high prediction accuracy through ensemble learning. The ASPO module optimizes the hyperparameters of both models simultaneously using metaheuristic algorithms, thereby enhancing system performance and adaptability. The integrated framework enables accurate, non-destructive, and real-time prediction of concrete strength, with applications in smart construction, material quality monitoring, and civil engineering design systems. The invention supports modular deployment in software, embedded systems, or cloud-based infrastructures, and is extendable to other material strength prediction tasks."
Disclaimer: Curated by HT Syndication.
