机器学习算法实现到嵌入式系统与web应用程序的用户界面

K. Židek, J. Pitel’, A. Hošovský
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引用次数: 12

摘要

本文介绍了在嵌入式系统中实现机器学习和聚类算法的web技术的可用性研究。研究工作主要分为两个部分。第一部分是用快速c++应用程序设计学习执行模型的后端系统。应用程序的第二部分是基于前端的web应用程序,使用PHP和AJAX为通过internet访问虚拟实验室提供接口。该解决方案在选定的嵌入式系统(Orange PI Lite、Raspberry PI3)上进行了实现和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine learning algorithms implementation into embedded systems with web application user interface
The paper presents research in usability of web technologies for implementation of machine learning and clustering algorithms into embedded systems. The research work is divided into two main parts. The first part is devoted to designing backend system with fast C++ application for learning execution model. The second part of application is frontend based web application with PHP and AJAX to provide interface for virtual laboratory access via internet. This solution is implemented and tested on selected embedded systems (Orange PI Lite, Raspberry PI3).
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