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New technology application in logistics industry based on machine learning and embedded network

机译:基于机器学习和嵌入式网络的物流业新技术应用

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摘要

A great deal of rivalry in the coordination business; the conventional coordination reasons are moving towards it in the requirements and the quickly changing innovation of coordination applications that change from second to second. Coordination in business transport and coordination exercises has been improved coordination. In the initial segment of the investigation, inspected the coordination's, the coordination idea of coordination the board and web-based business. In the next part, the arrangement of coordination's business exercises is clarified by the data's impact. In the last aspect of the investigation, I have chosen to utilize the advantages and difficulties of coordination's innovation and handy experience. In such a manner, on account of the profound examination exercises in the installed organization, such an embedded network, such as various underlying organization based innovation, set up to understand its manageable creation. Accordingly, it is an object of the current investigation, methodically, to break down the utilization of analytical writing and the inherent organization and embedded network of the business Machine Learning (ML). The mechanical implanted organization's presentation and the embedded network are viewed as the main thrust behind the keen manufacturing plant insurgency.
机译:在协调业务中的大量竞争;传统的协调原因正在向其迈进,并迅速改变从秒到第二个改变的协调应用程序的创新。商业运输和协调锻炼的协调得到了改善协调。在调查的初始部分,检查协调,协调董事会和基于网络业务的协调理念。在下一部分中,通过数据的影响阐明了协调的业务练习的安排。在调查的最后一个方面,我选择利用协调创新和方便体验的优缺点。以这样的方式,由于已安装组织中的深刻检查练习,如此嵌入式网络,例如基于各种基于底层组织的创新,设置了解其可管理的创造。因此,它是当前调查的对象,有条不紊地,分解分析写作的利用以及商业机器学习(ML)的固有组织和嵌入式网络。机械植入组织的演示文稿和嵌入式网络被视为敏锐的制造工厂叛乱背后的主要推力。

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