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QoE Prediction for Multimedia Services: Comparing Fuzzy and Logic Network Approaches

机译:多媒体服务的QoE预测:模糊和逻辑网络方法比较

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摘要

This paper is devoted to the problem of evaluating the quality of experience (QoE) for a given multimedia service based on the values of service parameters such as QoS indicators. This paper proposes to compare two self learning approaches for predicting the QoE index, namely the approach based on logic circuit learning and the approach based on fuzzy logic expert systems. Experimental results for comparing these two approaches with respect to the prediction ability and the performance are provided.
机译:本文致力于基于服务参数(例如QoS指标)的值评估给定多媒体服务的体验质量(QoE)的问题。本文提出比较两种用于预测QoE指标的自学习方法,即基于逻辑电路学习的方法和基于模糊逻辑专家系统的方法。提供了用于比较这两种方法的预测能力和性能的实验结果。

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