Abstract
The biggest view of the whole world on science and technology and sports is that science and technology and sports both represent national strength. At present, the integration of sports and science and technology has not reached a certain height, especially in the prediction of sports behavior and injury assessment, and the investment in science and technology is still lacking. This leads to a high number of injuries caused by sports every year. However, swarm intelligence algorithm has made few breakthrough achievements in the past few years, and the combination of sports behavior and swarm intelligence algorithm can just solve this problem. It is very important to choose the algorithm for predicting and assessing sports behavior. We should choose an efficient algorithm with high stability, high convergence speed, and optimization ability. In this paper, the IPSGWO algorithm is proposed to realize this application. IPSGWO algorithm is based on the GWO algorithm, with appropriate strategies and ideas, to maximize the improvement. In this paper, the convergence curve of PSO, GWO, and IPSGWO is tested to determine whether the IPSGWO algorithm has more stable and higher performance, and the simulation experiment is used to determine whether the IPSGWO algorithm is suitable for prediction and injury assessment compared with the other two. From the experimental results, the IPSGWO algorithm does have higher performance; because of this, it is more accurate for prediction and injury assessment.
Highlights
In contemporary society, with the rapid development of science and technology, people began to pay attention to sports. e national sports policy has gradually deepened, from the initial social sports to today’s science and technology sports, and the state has supported it
With the addition of intelligent algorithm, sports behavior is more predictable, and the harm it brings can be predicted and avoided in advance to a certain extent, which makes sports more stable and safe, and more children and the elderly can participate in sports activities with confidence and feel the changes brought by science and technology
Researchers have established and implemented important standards for the operation of swarm intelligence, so as to have further research on swarm intelligence. e research of swarm intelligence originated from insects [2], and the behavior characteristics of social insects that have survived for millions of years are not centralized distribution function and self-organization ability
Summary
With the rapid development of science and technology, people began to pay attention to sports. e national sports policy has gradually deepened, from the initial social sports to today’s science and technology sports, and the state has supported it. Social insects are not half as Discrete Dynamics in Nature and Society intelligent as humans [3], their self-organized work is to consciously accomplish one or more tasks by multiple individuals Despite this, they always have very effective ways to deal with all kinds of problems they encounter, and they can quickly adapt to the changing environment around them. Most of the discoveries [5] that are different from the conventional ones and beneficial to scientific progress come from the fusion of some unrelated fields Basic algorithms, such as simulated annealing, are the best examples of technologies that have been opened to traffic in two closed fields because of the bridge of swarm intelligence. E algorithm is generated according to swarm intelligence, so that the uncomplicated robot agent can solve complex problems It is the combination of swarm intelligence and micro-operation tasks, which will have important features: each microrobot can perform shared information and technology. At the same time, according to the experimental results [15], it is found that the identity and behavior of sports fans are obviously higher among men than among women, but the number of sports fans is equal between them. en, in this situation, compared with women, men rarely call themselves sports fans, but prefer to think of themselves as sports fans. e reason for this is that men prefer to participate in sports and get something from them than watching sports with relatives and friends
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