邢台职业技术学院学报
邢檯職業技術學院學報
형태직업기술학원학보
JOURNAL OF XINGTAI VOCATIONAL AND TECHNICAL COLLEGE
2014年
5期
22-25
,共4页
蚁群算法%人工智能%聚类%教学评价
蟻群算法%人工智能%聚類%教學評價
의군산법%인공지능%취류%교학평개
ant colony algorithm%artificial intelligence%clustering analysis%teaching evaluation
教学质量评价是学校有效调节教学行为的一项有效措施。提出了改进的蚁群聚类算法。该方法结合评估特征参数和权值，对教学评价等级进行聚类，正确率达到80%以上。实验表明，该算法应用于教学评价具有一定的可行性。
教學質量評價是學校有效調節教學行為的一項有效措施。提齣瞭改進的蟻群聚類算法。該方法結閤評估特徵參數和權值，對教學評價等級進行聚類，正確率達到80%以上。實驗錶明，該算法應用于教學評價具有一定的可行性。
교학질량평개시학교유효조절교학행위적일항유효조시。제출료개진적의군취류산법。해방법결합평고특정삼수화권치，대교학평개등급진행취류，정학솔체도80%이상。실험표명，해산법응용우교학평개구유일정적가행성。
The teaching quality evaluation is an effective measure to regulate the behaviors of school teaching. The improved ant colony clustering algorithm is put forward. The method combined with evaluation parameters and weights, clustered the teaching evaluation grades, the correct rate is about more than 80%. Experiments show that, improved ant colony clustering algorithm is feasible in the teaching evaluation.
