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作 者:金凤[1] JIN Feng(Xianyang Vocational&Technical College,Xianyang Shanxi 712000,China)
出 处:《自动化与仪器仪表》2024年第10期168-172,共5页Automation & Instrumentation
基 金:咸阳职院技术学院2022年度教学改革研究项目重点课题《“双高”背景下学前教育专业群教师创新创业教育教学能力提升策略》(2022ZYA01);陕西省2023年高等教育(职业教育)理论与实践课题《“双高计划”视域下学前教育专业群新形态教材建设探索与实践研究》(2023HZ1426);咸阳职业技术学院科研创新团队《学前儿童核心经验发展科研创新团队》(CX202103)。
摘 要:为了给创新创业教育提供更加真实、高效、智能的实践环境,研究结合模拟退火-非支配排序遗传算法与微服务技术设计了一种基于柔性数字孪生与适应性架构的双创虚拟仿真实训智慧平台。结果显示,研究采用模型F1值曲线波动较小,达到了90.01%的平均F1值与96.23%的平均精确度。研究设计平台系统的响应时间较短,CPU占用率波动范围为5%到21%,平均吞吐量为8.2 M/s,均优于传统平台。实验结果表明,研究模型在文本分类方面具有卓越的性能和泛化能力,充分展现出其在大量数据流量处理中的优越性和高效性;创新平台为创新创业教育提供了稳定的虚拟仿真实验环境,其设计和性能得到了专家的认可与好评。因此,研究平台能够为创业者提供全面且高效的创新创业支持与服务。In order to provide a more real,efficient and intelligent practical environment for innovation and entrepreneurship education,a virtual imitation real training wisdom platform based on flexible digital twin and adaptive architecture that combines simulated annealing-non-dominant sequencing genetic algorithm and micro-service technology.The results showed that the F1 value curve of the model used in the study had small fluctuations,achieving an average F1 value of 90.01%and an average accuracy of 96.23%.The response time of the research and design platform system is relatively short,with CPU usage fluctuations ranging from 5%to 21%and an average throughput of 8.2M/s,both of which are better than traditional platforms.The experimental results show that the research model has excellent performance and generalization ability in text classification,fully demonstrating its superiority and efficiency in processing large amounts of data traffic;The innovation platform provides a stable virtual simulation experimental environment for innovation and entrepreneurship education,and its design and performance have been recognized and praised by specialist.Therefore,research platforms can provide comprehensive and efficient innovation and entrepreneurship support and services for entrepreneurs.
关 键 词:双创 虚拟仿真 智慧平台 柔性数字孪生 适应性架构
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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