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

Title: Tabu Based Back Propagation Algorithm for Performance Improvement in Communication Channels
Authors: Satapathy, J K
Subhashini, K R
Keywords: adaptive equalisers
backpropagation
neural nets
search problems
telecommunication channels
Issue Date: 2008
Publisher: IEEE
Citation: IEEE Region 10 Conference TENCON, Hyderabad, November 19- 21, 2008
Abstract: This 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.
URI: http://dx.doi.org/10.1109/TENCON.2008.4766514
http://hdl.handle.net/2080/843
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