A Classification Technique for English Teaching Resources and Merging Using Swarm Intelligence Algorithm

The evolution of social education has necessitated the optimization various teaching approaches, and classification English resources is one crucial factors. With development electronic computers Big Data technologies, that could not be realized before become possible now. However, traditional methods cannot meet requirements modern computing due to limitations implementation. emergence swarm intelligence algorithms makes possible. Swarm algorithm a swarm-based multipoint random search algorithm, which includes evolutionary immune particle procedure (PSO), ant colony process, artificial fish mechanism, other typical intelligent techniques. strong robustness global local capabilities, as well as, implicit parallelism. Furthermore, it no special for objective functions constraint functions. It function “black box” can overcome problems where are insufficient. large space rich forms expression, there an essential connection between them, so they integrated. key goal this study implement task classifying provide reference optimizing model. experimental findings demonstrate suggested model excellent performance, favorable enhancing utilization rate resources, applicable disciplines.