基于多层感知机的职业教育虚拟实验室虚拟压缩试验机设计与评价

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

TEM Journal-Technology Education Management Informatics Pub Date : 2023-05-29 DOI:10.18421/tem122-14

Stefanus Santosa, Suharto Suharto, Yonathan Purbo Santosa, Farrikh Alzami Alzami, De Rosal Ignatius Moses Setiadi

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引用次数: 0

摘要

用于学生实习的传统压缩试验机(CCTM)的缺点是采购、维护、电力、混凝土材料成本高，以及人为/设备误差因素。本研究提出了基于多层感知机的虚拟压缩试验机(VCTM)，使用2个隐藏层、60个带bagging的神经元等参数构建RMSE值为4.738的深度神经网络。VCTM已成功应用，与CCTM无显著差异。VCTM可用于试验强度高的各类混凝土。讲师和研究人员可以使用VCTM进行研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Design and Evaluation of Virtual Compression Testing Machine Based on Multilayer Perceptron for Vocational-Education Virtual Laboratory

The weaknesses of Conventional Compression Testing Machines (CCTM) for student practicum are the high costs of procurement, maintenance, electricity, concrete materials, and human/equipment error factors. This research proposed of Virtual Compression Testing Machine (VCTM) based on Multilayer Perceptron that uses 2 hidden layers, 60 neurons with bagging, and other parameters of a Deep Neural Network with RMSE value of 4.738. The application of VCTM has been successfully carried out and there was no significant difference with CCTM. VCTM can be used for various types of concrete with high testing intensity. Lecturers and researchers can use VCTM to conduct research.

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来源期刊

TEM Journal-Technology Education Management Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.20

自引率

14.30%

发文量

176

审稿时长

8 weeks

期刊介绍： TEM JOURNAL - Technology, Education, Management, Informatics Is a an Open Access, Double-blind peer reviewed journal that publishes articles of interdisciplinary sciences: • Technology, • Computer and informatics sciences, • Education, • Management