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Construction of Stomatology Development Review System Based on Swarm Intelligence Optimization Algorithm

MLMI(2022)

Guizhou University Humanities and Medical Research Center

Cited 0|Views14
Abstract
After the human society entered the network age, with the continuous development of information technology, the amount of data generated and collected in various production activities continued to increase, which prompted a new change in the field of machine learning and data mining research. Swarm intelligence optimization algorithm is an important research direction in the field of evolutionary computing. Based on the theoretical research of the swarm intelligence optimization algorithm, this paper studies and analyzes the construction of the stomatology development review system based on the swarm intelligence optimization algorithm, and uses its optimization performance to deal with the feature selection application of medical data sets. The swarm intelligence optimization algorithm has the characteristics of simple structure and high performance, and is widely used in the field of optimization problems. Use a given optimization algorithm to find the best set of features. The main purpose is to find the feature set with the strongest correlation with the prediction result. In this way, the efficiency of processing the dataset can be improved, the training of the machine learning model can be accelerated, and finally the classification ability of the entire combined model can be improved. In this paper, the improved swarm intelligence optimization algorithm based on multi-swarm mechanism is used to solve the feature selection problem of medical data sets, which provides practical application help for the construction of the stomatology development review system. The final experimental results show that when the nonlinear coefficients of the system are 47.9, 16.3, 36.5, 79.3 and 60.2, respectively, the convergence degrees of the corresponding nonlinear convergence factors of the system are 77.3%, 80.5%, 78.7%, 75.1% and 78.4, respectively. It shows that the construction of a review system for the development of stomatology based on the swarm intelligence optimization algorithm is feasible.
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