As the number of iterations increases, the red best-fit curve shows an increasing trend of classification recognition rate, which reaches the optimum and remains unchanged when it reaches 8 iterations, with an accuracy of 96.97% under fivefold crossover, a penalty factor c of 1.6294, and a radial kernel function g of 11.0116, and the SVM classification model is built with these two optimal parameters, which finally obtains a classification recognition rate of 92.85%. 4.2.
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The Construction of an Action-Speech Feature-Based School Violence Recognition Algorithm and Occupational Therapy Education Model for Adolescents.
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