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Employment and Entrepreneurship Education for University Students Based On Improved ACO Algorithm and Embedded Database
Microprocessors and Microsystems ( IF 1.9 ) Pub Date : 2021-02-15 , DOI: 10.1016/j.micpro.2021.104087
Xiaoqiu Yan

Employment and entrepreneurship are key components in manageable development, improving economic, social and natural dimensions. However, Employment and Entrepreneurship and open information are concentrated in writing from a holistic perspective. The embedded database identifies the normative aspects of past tests and proposes a theoretical model for breaking down employment through entrepreneurship. College Students clear investigation and co-word testing took place action related to tools that reuse data distributed by public companies by experts from various organizations to create new expert activities, especially for new portable applications. Entrepreneurship resources, development and action plans can be read as basic elements to embedded database employment through entrepreneurship. A calculated model is introduced, and emerging factors are proposed for future exploration. It emphasizes the importance of empowering joint efforts between different entrepreneurship environment experts for progress and improvement. Improved Ant Colony Optimization Algorithm has identified an emerging topic in its infancy: the embedded database of auxiliary employment through open information as a value creation activity to address practical twists globally.



中文翻译:

基于改进ACO算法和嵌入式数据库的大学生就业创业教育

就业和企业家精神是可控发展,改善经济,社会和自然状况的关键组成部分。但是,从整体角度来看,就业和创业精神以及公开信息都集中在书面形式上。嵌入式数据库确定了过去测试的规范性方面,并提出了通过企业家精神分解就业的理论模型。大学生们进行了明确的调查,并进行了词汇测试,涉及与工具有关的工具,这些工具可以重用上市公司(各组织的专家)分配的数据,以创建新的专家活动,尤其是针对新的便携式应用程序。创业资源,发展和行动计划可以被理解为通过创业嵌入嵌入式数据库的基本要素。引入了计算模型,并提出了新兴因素,以供将来探索。它强调了授权不同企业家环境专家之间共同努力以取得进步和改善的重要性。改进的蚁群优化算法在婴儿期就发现了一个新兴的话题:通过公开信息将辅助就业的嵌入式数据库作为一项价值创造活动来解决全球范围内的实际问题。

更新日期:2021-02-15
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