摘要
现有检索方法检索用时久,有效检索次数少,为此,文章研究基于改进鲸鱼算法的数学教学多媒体资源全局检索方法。利用向量和聚类特性,对数学多媒体教学资源进行联合分布融合,获取统计特征;通过多维度的适配分析,每个教学资源都被表示为一个特征点,具有在各个维度上的特征信息;运用改进鲸鱼算法更新最优解,输出最优检索方案对应的教学资源,定向检索输出教学资源。实验结果表明,实验组的检索用时在3个小组中为最短,仅20 s以下;随着检索时间的增加,有效检索次数达到了115次,结果符合预期要求。
Due to the long retrieval time and low effective retrieval times of existing retrieval methods,this article studies a global retrieval method for mathematical teaching multimedia resources based on an improved whale algorithm.The article utilizes vector and clustering characteristics to jointly distribute and fuse mathematical multimedia teaching resources to obtain statistical features.Through multidimensional adaptation analysis,each teaching resource is represented as a feature point with characteristic information in various dimensions.The article uses an improved whale algorithm to update the optimal solution,outputs the teaching resources corresponding to the optimal retrieval scheme,and conducts targeted retrieval to output teaching resources.The experimental results showed that the retrieval time of the experimental group was the shortest among the three groups,only less than 20 seconds;As the search time increased,the effective search count reached 115 times,and the results met the expected requirements.
作者
曹苏周
CAO Suzhou(Xi'an Siyuan University,Xi'an 710038,China)
出处
《无线互联科技》
2025年第14期39-42,共4页
Wireless Internet Science and Technology
关键词
改进鲸鱼算法
数学
多媒体
教学资源
检索
improved whale algorithm
mathematics
multimedia
teaching resources
retrieval
