Fast Information Processing over Business Networks


El-Bakry H. M. , Mastorakis N.

9th WSEAS International Conference on Applied Informatics and Communications, Moscow, Rusya, 20 - 22 Ağustos 2009, ss.305-312 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Moscow
  • Basıldığı Ülke: Rusya
  • Sayfa Sayıları: ss.305-312

Özet

Applying the usability criteria on small computer network is very important as well as measuring the customers satisfaction. In this article, a process for measuring the usability of small business network is introduced. The usability process for networking provides us with a flexible and a cost-effective way to assess the usability of a network and its products. The process can be used to certify network product usability late in the development cycle as well as used to help in developing usable interfaces very early in the cycle and to give a way to measure, track, and improve usability. In addition a new approach for fast detecting certain information over computer networks is presented. The entire data are collected together in a long vector and then tested as a one input pattern. Proposed fast time delay neural networks (FTDNNs) use cross correlation in the frequency domain between the tested data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented time delay neural networks is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.