RETRACTED ARTICLE: Optimization of marine biological sediment and aerobics training mode based on SVM

Abstract

Currently, radial basis functions and support vector machines (SVM) are the best methods for big data modeling. SVM can approach any non-linear variable relationship with arbitrary precision, and deal with the complex laws between variables more appropriately. It provides new ideas and methods for the development of predictive models. The predictive accuracy is good, and all the results are satisfactory. Rivers, seas, and lakes accumulate sediments due to various objective reasons such as nature, and these materials may be deposited on land or in the ocean. Terrestrial deposits are formed on land, but sometimes they also accumulate on land, oceans, or lakes. Accumulation is the raw material of accumulation rock and may contain fossils of aquatic organisms. When these aquatic creatures die, they will be covered by accumulations. The deposits at the bottom of the lake that are not fossilized can be used to infer the previous climatic conditions. The university’s sports major is the training base for sports talents. With the progress of China’s school sports reform, the society urgently needs new sports talents with a solid foundation, extensive capabilities, strong self-confidence, and great innovation capabilities. Aerobics is a new sport in Chinese sports. It entered university physical education in the middle of the last century. It is now loved by most teachers and students and has become a common sport in university physical education. The physical education subjects of universities in the A area generally provide aerobics professional courses. With the deepening of education reform, many problems have appeared in the education content, which directly affects the training of bodybuilding talents and the sustainable development of aerobics.