Back-Propagation Neural Network for QoS Prediction in Industrial Internets

被引：0

作者：

Chen, Hong ^{[1
]}

机构：

[1] State Grid Infotelecom Great Power Sci & Technol, Beijing, Peoples R China

来源：

COLLABORATE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING, COLLABORATECOM 2016 | 2017年 / 201卷

关键词：

Web service; QoS; BP neural network; Industrial internet; WEB SERVICE SELECTION;

D O I：

10.1007/978-3-319-59288-6_57

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

As it is well known that QoS play an important role in industrial Internets. However, existing prediction methods failed in obtaining accurate QoS prediction results. Hence, in this paper, we proposed a high accurate approach for QoS prediction for industrial Internets. The key idea of this approach is to adopt back-propagation neural network to predict the QoS data. We implement our approach and experiment it based on a real-world QoS dataset. The experimental results show that our proposed approach can perform accurate QoS prediction results.

引用

页码：577 / 582

页数：6

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