Algorithm for Determining the Interval of Arrival of Packets in a Multi-Service Network Based on Neuro-Fuzzy Technology

This paper presents the process of defining performance indicators for a multiservice network management system employing hybrid neural-fuzzy technology that integrates fuzzy logical approach with the strengths of neural networks. A constructed fuzzy neural model was then employed to determine whether the real time feeds had to be transmitted via the channel of the multi-servo network. Three main categories can be used to classify methods for assessing the effectiveness of multiservice communication networks: It was classified into technical, economic and technical and economic. Several factors relate to the operation and efficiency of the computer network, which are perused as the technical aspect. Other economic parameters are expected network, design, installation and maintenance costs. These technical and economic indicators involve distinct combinations of technical and/or economical characteristics that are utilised to give a complete assessment of the project.

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