Host: Japan Society for Fuzzy Theory and Intelligent Informatics
Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter
We developed the Remote Monitoring Intelligent System (RMIS) of Local Area Network (LAN) to realize the secure Internet environment. The RMIS has various agents which work to exchange the information related to computer's conditions in the network environment. We shall be able to control the quality and quantity in the network communication by some kind of agents. In this paper, we propose the scheduling method of data transmission by Recurrent Neural Networks(RNNs) to avoid traffic jam in thenetwork. Especially, our proposed RNN enables to expect the good condition at each network device. In order to verify the effectiveness of our proposed method, we report the examination results.