物联网技术与神经网络算法在高职学院实训室仿真中的应用研究

Application of IOT technology and neural network algorithm in training room of higher vocational college

高职学院应当重点培养从事物联网关键技术领域的系统设计、系统分析、科技开发及研究方面的工程技术人才。文章分析了高校利用物联网与神经网络技术来优化多通道通信关键技术信息传感设备的采集与实现方法,同时给出了采用神经网络终端来按约定的协议实现人与人、人与物、物与物全面互联的网络关键技术。

Vocational colleges should focus on training higher engineering and technical personnel who work on the key technology of the IOT including system design, system analysis, technology development and research. This paper analyzes that the colleges and universities use the IOT and neural network technology to optimize the acquisition and implementation of multi-channel communications critical technical information sensing devices. The key technology that enables persons to persons, persons to things, things to things fully interconnect by using the neural network terminal with the agreed protocol is provided finally.