Conjugate Symmetric Data Transmission Control Method based on Machine Learning

In conjugate symmetric data transmission, due to insufficient judgment of congestion during the amount is large and transmission rate low. order improve rate, a control method based on machine learning designed. Firstly, be transmitted tracked determined, then fusion completed according calculation result best tracking signal. According results, framework coding system established, completed. The average mark value calculated by method, On basis determination, efficient realized specifying protocol. Experimental results show that compared with traditional methods, this has advantages high delivery low message overhead delay. Compared two-way path model, scheduling proposed in study increases 5%, while reducing cost delay 0.7 index 1.1 min delay, respectively. comparison performance accurate error equalization, research increased 21%, analysis, it also decreased 3.1 2.9 minutes. Based above can concluded more superior performance.