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dc.contributor.authorSatapathy, J K-
dc.contributor.authorSubhashini, K R-
dc.identifier.citationIEEE Region 10 Conference TENCON, Hyderabad, November 19- 21, 2008en
dc.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
dc.format.extent234723 bytes-
dc.subjectadaptive equalisersen
dc.subjectneural netsen
dc.subjectsearch problemsen
dc.subjecttelecommunication channelsen
dc.titleTabu Based Back Propagation Algorithm for Performance Improvement in Communication Channelsen
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