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| 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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| thesis-final,,,,,.pdf | | 2608Kb | Adobe PDF | View/Open |
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