TY - JFULL AU - Hazem M. El-Bakry and Ahmed Atwan PY - 2009/4/ TI - Improving Quality of Business Networks for Information Systems T2 - International Journal of Industrial and Systems Engineering SP - 602 EP - 615 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/1018 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 27, 2009 N2 - Computer networks are essential part in computerbased information systems. The performance of these networks has a great influence on the whole information system. Measuring the usability criteria and customers satisfaction on small computer network is very important. In this article, an effective approach for measuring the usability of business network in an information system 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. In addition, the proposed approach can be used to certify network product usability late in the development cycle. Furthermore, it can be used to help in developing usable interfaces very early in the cycle and to give a way to measure, track, and improve usability. Moreover, a new approach for fast information processing 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. ER -