Abstract: Recently, more attentions are paid on the quality of the data transmission and the speed of the digital communication systems. Limitations can face the rate of data transmission over the communication channel because of the effect of the linear and nonlinear distortion. Different equalization techniques are applied to alleviate these effects. In this paper, an equalizer based on the AdaptiveNeuro-Fuzzy Inference System (ANFIS) is proposed for digital channel equalizer. For the performance evaluation, the proposed equalizer is compared with other classical equalizer. The experimental work demonstrates the significant improvement of the performance using ANFIS equalizer over theRadial Basis Function and Least Mean Square equalizers.

• Publication Date: 05-May-2013
• DOI: 10.15224/978-981-07-6261-2-25
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Abstract: At present, with the growing demand of knowledge economy, fast popularization and development of the World Wide Web, a lot of people are turning to e-learning via web particularly in educational institutions. There are plenty of e-learning systems nowadays and these systems provide functionalities ranging from some simple tools to manage and search a lot of teaching materials to knowledge sharing through online forum discussion. While the online forum discussion promotes exchanging ideas between instructors and students, however due to the job demand of instructors at their workplace and at times being away from their workplace would often result in responses to the students’ questions were not being responded in time. To address the problem, automated response systems in forum discussion have been developed where the system would take the responsibility to respond to questions posed by student in forum discussion in the absence of instructors thus reducing the workload of instructors

• Publication Date: 05-May-2013
• DOI: 10.15224/978-981-07-6261-2-24
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