5Research of Blind Equalization Algorithms Based on FNN
Abstract: In this chapter, the concept, development, structures, learning algorithms, and characteristics of the fuzzy neural network (FNN) are summarized. The methods of how to select and determine the fuzzy membership function are introduced. The blind equalization algorithms based on FNN filter, FNN controller, and FNN classifier are researched. The structures adopt the dynamic recurrent FNN, five-layer FNN, and three-layer FNN, respectively. The iterative formulas of algorithms are deduced. The simulation results verify the effectiveness of the proposed algorithms.
5.1Basic principles of FNN
Fuzzy neural network (FNN) is an adaptive and self-learning fuzzy system which combines fuzzy ...
Get Blind Equalization in Neural Networks now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
