基于IGSO-SVM的高职教育第三方评价指标挖掘的研究

Research on the Third Party Evaluation Index of Higher Vocational Education Based on IGSO-SVM

如何更好监督高职教育的教学效果,国家提出引入第三方评价的标准,本文将高职教育中第三方评价指标作为挖掘对象,提出了人工萤火虫结合自动向量机的挖掘算法,首先,在人工萤火虫算法中引入人工鱼群算法提高人工萤火虫算法性能,其次,通过向量自动机建立第三方评价指标评价模型,最后使用改进的算法对指标模型的参数进行优化得到挖掘效果。仿真实验中,选择了几个高职教育中的第三方指标评进行评价,取得了比较好的效果。

In terms of how to better supervise the teaching effect of higher vocational education, the country has put forward the introduction of third-party evaluation standards. In this article, the third-party evaluation indicators at higher vocational education will be taken as a mining object, and artificial firefly is proposed combined with automatic vector machine mining algorithm. In the firefly algorithm, the artificial fish swarm algorithm is introduced to improve the performance of the artificial firefly algorithm. Secondly, the third party evaluation index evaluation model is established by vector automata. Finally, the improved algorithm is used to optimize the parameters of the index model. In the simulation experiment, the third party index evaluation of higher vocational education was selected and evaluated, and the better effect was achieved.