Vamsi Krishna, T (2006) Development Of Novel Neuro-Fuzzy Techniques For Adaptive Systems. MTech by Research thesis.
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...
|Item Type:||Thesis (MTech by Research)|
|Uncontrolled Keywords:||neuro-fuzzy, Radial basis function (RBF), ANFIS (adaptive network based fuzzy inference systems)|
|Subjects:||Engineering and Technology > Electronics and Communication Engineering > Fuzzy Systems|
Engineering and Technology > Electronics and Communication Engineering > Adaptive Systems
|Divisions:||Engineering and Technology > Department of Electrical Engineering|
|Deposited By:||Shipra Awasthi|
|Deposited On:||07 May 2009 16:38|
|Last Modified:||07 May 2009 16:38|
|Supervisor(s):||Satapathy, J K|
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