兵工自动化2026，Vol.45Issue(6)：70-74,5.DOI:10.7690/bgzdh.2026.06.014
基于深度学习的学前教育平台典型数据多目标优化挖掘算法
Multi-objective Optimization Mining Algorithm for Typical Data of Preschool Education Platform Based on Deep Learning
摘要
Abstract
Aiming at the multi-objective problem in preschool education program formulation,this paper proposes a multi-objective optimization mining algorithm for typical data of preschool education platform based on deep learning.Extracting content characteristics and structural characteristics of typical data of a multi-source heterogeneous education platform by adopting a time window and a frequent item set,and inputting a convolutional neural network model;introducing a multi-layer heterogeneous attention mechanism into a convolution layer of the model,and mapping the extracted characteristic results;reconstructing the mapping result by utilizing a batch normalization layer,and segmenting and reconstructing by utilizing a pooling layer to obtain the characteristic results;the typical data features after segmentation are combined by the fully connected layer of the model,and the typical data are divided by the Softmax classifier to obtain the optimized typical data multi-objective optimization mining results.The test results show that the algorithm has a good feature extraction effect,the root mean square error is less than 0.12,the specificity results of data mining are more than 0.927,and the novelty results of typical data mining are more than 91.6%.关键词
深度学习/学前教育平台/典型数据/多目标/优化挖掘/新颖度Key words
deep learning/preschool education platform/typical data/multiple objectives/optimize mining/novelty分类
信息技术与安全科学引用本文复制引用
许萌,韩鹏..基于深度学习的学前教育平台典型数据多目标优化挖掘算法[J].兵工自动化,2026,45(6):70-74,5.基金项目
陕西省职业技术教育学会 2023 年度教育教学改革研究项目(2023SZX207) （2023SZX207）
咸阳职业技术学院教改项目(2023SZX212) （2023SZX212）
咸阳职业技术学院科研基金项目(2024KJB02) （2024KJB02）
