Research on Academic Early Warning Model for College Student based on HOA-CNN-LSTM Model

Academic early warning of college students is a key topic in the field of higher education. Research on studies the modeling method of equipment firepower distribution based on optimization theory, aiming to improve the shooting effectiveness of equipment weapons under modern combat conditions. Through problem analysis and model assumptions, a nonlinear programming model is established to explore the issue of equipment weapon firepower distribution. The goal of the model is to maximize the overall damage value to enemy armored targets under given constraints and to minimize ammunition consumption when reaching a certain degree of damage. The paper describes in detail the establishment and solution process of the model, and demonstrates how to solve it using the Matlab software package through examples. Finally, the paper verifies the model and discusses its application in weapon-to-target distribution systems, pointing out the potential of intelligent algorithms in solving such NP-complete problems.