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C4.5 algorithm needs to scan data sets repeatedly when constructing decision tree, which leads to its inefficient operation. A C4.5 decision tree optimization algorithm based on data dimension reduction is proposed, which generates a more concise decision tree and improves the efficiency of the algorithm. At the same time, it eliminates the interference of redundant attributes and improves the accuracy of the algorithm prediction.The simulation results of the improved C4.5 algorithm and the traditional algorithm show that the accuracy and efficiency of the improved C4.5 algorithm are greatly improved.This algorithm is applied to the prediction system of diabetes diagnosis effect, which provides decision support for the diagnosis of diabetes in hospitals, realizes better precise medical treatment, and makes better use of social medical resources.Successful application of diabetes diagnosis and treatment results also provides technical ideas for large data decision-making in other fields.

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This project analyses the main technical points of aircraft design, makes a preliminary discussion on rotor dynamics and mechanical analysis of four-axis aircraft, analyses the particularity of aircraft structure, control flexibility and control principle, establishes three-dimensional rigid body coordinate axis for aircraft. Describes the relationship between flight attitude and coordinate axis. Chooses a multi-channel attitude fusion algorithm, anti-jamming data transmission mode, adjusts the relationship between frequency and rate of wireless data transmission in detail. At the same time, the principle and arithmetic of the PID controller are analyzed in detail, and it is applied to the speed control of DC motor of aircraft. Through experimental verification and test, a good stable control effect is obtained. The design and implementation of the flight control system and remote control software and hardware are completed, and the test and flight test of the whole aircraft are completed. The flight control stability is good. It has the characteristics of small size, fast response and long communication distance. It can fully meet the reconnaissance requirements of obtaining real-time high-definition images in various complex situations. The upper computer software can quickly decode image data, convert it to video output to ground personnel, and realize FPV reconnaissance.