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- W2352694436 abstract "A new blind equalization algorithm based on the Enforced Fuzzy Neural Net-work (EFNN)is proposed in this paper.The EFNN has higher accuracy of closing nonlinear system and better mapping capability,so it accords with the characteristic of nonlinear communication technology processing.In this paper,the structure and the state functions of the EFNN are given,the cost function is proposed,and the parameter iteration formula are derived.Computer simulation results show that the new algorithm has better convergence effect,lower bit error rate than the forward NN algorithm." @default.
- W2352694436 created "2016-06-24" @default.
- W2352694436 creator A5011678224 @default.
- W2352694436 date "2010-01-01" @default.
- W2352694436 modified "2023-09-26" @default.
- W2352694436 title "A New Blind Equalization Algorithm Based on the Enforced Fuzzy Neural Network" @default.
- W2352694436 hasPublicationYear "2010" @default.
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