基于支持向量机的教学质量评价研究

TEACHING QUALITY EVALUATION BASED ON SUPPORT VECTOR MACHINE

支持向量机是一种新的机器学习算法,由于出色的学习性能,以及在小样本识别等许多方面有其独特的优势,现已应用在许多领域.目前,高校对教学质量越发重视,如何客观、准确、方便地评价教学质量是一个值得研究的课题.结合目前教学质量评价研究现状,提出了一个基于SVM的评价模型,经检验该模型能够获得较为理想的评价结果.

Support Vector Machine is a new machine learning algorithm, as its excellent performance of the study, and to identify many ways in small samples, which is now used in many areas. Currently, colleges and universities pay more attention to the quality of teaching. How to evaluate the quality of teaching objectively, aecurarely, and conveniently is a subject worth studying. At present, combined with the research of teaching quality evaluation, an evaluation model based on SVM is made, and the model is tested to obtain better results.