Data-driven applications need advanced predictive modeling to manage nonlinear relationships and high-dimensional datasets. To address these challenges, this research presents a novel hybrid optimization model integrating an Improved Zebra Optimization Algorithm (IZOA) with a Back Propagation (BP) neural network to enhance predictive performance in complex datasets. The IZOA addresses inherent limitations in traditional optimization methods by employing a Logistic chaotic initialization technique that increases population diversity. Furthermore...
