Database task processing optimization based on performance evaluation and machine learning algorithm

One of the key components artificial intelligence algorithms is machine learning, involving a variety fields, and has been applied in many systems, including computer vision algorithm, radio network medical diagnosis algorithm intelligent robot system algorithm. In form learning module first used to calculate consumption, main performance modules are optimized improved, data under database optimization obtained, selected structure for calculation, analysis calculation results. Finally, design system, separation storage engine studied, processing proposed. terms functionality reliability, it helps solve loss problem caused by big transmission. research intensive downward moving process, solution estimated. The results show that using terminal sampling comparison select executable scheme. result this paper shows can improve efficiency query.