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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/843

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contributor.authorSatapathy, J K-
contributor.authorSubhashini, K R-
date.accessioned2009-05-19T02:46:03Z-
date.available2009-05-19T02:46:03Z-
date.issued2008-
identifier.citationIEEE Region 10 Conference TENCON, Hyderabad, November 19- 21, 2008en
identifier.urihttp://dx.doi.org/10.1109/TENCON.2008.4766514-
identifier.urihttp://hdl.handle.net/2080/843-
description.abstractThis paper presents a new approach to equalization of communication channels using artificial neural networks (ANNs). A novel method of training the ANNs using Tabu based back propagation (TBBP) algorithm is described. The algorithm uses the Tabu search (TS) to improve the performance of the equalizer as it searches for global minima which is many a time escaped while back propagation (BP) algorithm is applied for this purpose. From the results it can be noted that the proposed algorithm improves the classification capability of the ANNs in differentiating the received data.en
format.extent234723 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIEEEen
subjectadaptive equalisersen
subjectbackpropagationen
subjectneural netsen
subjectsearch problemsen
subjecttelecommunication channelsen
titleTabu Based Back Propagation Algorithm for Performance Improvement in Communication Channelsen
typeArticleen
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