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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/669

Title: Development Of Novel Neuro-Fuzzy Techniques For Adaptive Systems
Authors: Vamsi Krishna, T
Satapathy, J K (Guide)
Issue Date: 2006
Publisher: National Institute of Technology, Rourkela
Citation: Development Of Novel Neuro-Fuzzy Techniques For Adaptive Systems, Thesis submitted in partial fulfillment of the requirements for the degree of Master of Technology by Research, to National Institute of Technology, Rourkela
Abstract: Novel approaches for designing adaptive schemes based on neuro-fuzzy platform have been developed. Two kinds of adaptive schemes namely, adaptive equalization and system identification are implemented using the developed proposed techniques. The Radial basis function (RBF) equalizer is chosen as a case study for adaptive equalization of the digital communication channels. An efficient method for reducing the centers of a RBF equalizer based on eigenvalue analysis is presented. The efficiency of the method is further verified for RBF equalizers with decision feedback for tackling channels with overlapping channel states. A comparative study between the proposed center reduction technique and other center reduction techniques for the RBF equalizer is discussed. In another breakthrough a parallel interpretation of the ANFIS (adaptive network based fuzzy inference systems) architecture is proposed. This approach helps to investigate the role of the fuzzy inference part and the s...
Description: Copyright for the article belongs to National Institute of Technology, Rourkela
URI: http://hdl.handle.net/2080/669
Appears in Collections:Thesis (MTech by Research)

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