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- W2369718459 abstract "First,kernel principal component analysis(KPCA) method and the generalized regression neural network(GRNN) are optimized by using the particle swarm optimization(PSO) algorithm after the covariance matrix for beam forming is obtained.Second,optimized KPCA method is used to reduce the dimension of train samples in order to reduce the complexity of GRNN.Finally,considering both difference and correctness of every neural network weight coefficients for beam-forming are obtained by using the proposed neural network ensemble method based fuzzy clustering method(FCM) and Heuristic idea.The simulation results show that the proposed method has good performance under a very simple structure of the neural network." @default.
- W2369718459 created "2016-06-24" @default.
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- W2369718459 date "2012-01-01" @default.
- W2369718459 modified "2023-09-28" @default.
- W2369718459 title "A Novel Wideband Beam Forming Method Based Generalized Regression Neural Network Ensemble" @default.
- W2369718459 hasPublicationYear "2012" @default.
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