An Immunity-Based RBF Network and Its Application in Equalization of Nonlinear Time-Varying Channels
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概要
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This paper proposes a novel RBF training algorithm based on immune operations for dynamic problem solving. The algorithm takes inspiration from the dynamic nature of natural immune system and locally-tuned structure of RBF neural network. Through immune operations of vaccination and immune response, the RBF network can dynamically adapt to environments according to changes in the training set. Simulation results demonstrate that RBF equalizer based on the proposed algorithm obtains good performance in nonlinear time-varying channels.
- 2009-05-01
著者
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Jin Ronghong
Department Of Electronic Engineering Shanghai Jiao Tong University
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Jin Ronghong
Department Of Electronic Engineering School Of Electronic Information And Electrical Engineering Sha
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Tang Bin
Department Of Electronic Engineering Shanghai Jiao Tong University
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Zang Xiaogang
Department Of Electronic Engineering Shanghai Jiao Tong University
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GONG Xinbao
Department of Electronic Engineering, Shanghai Jiao Tong University
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LING Xiaofeng
Department of Electronic Engineering, Shanghai Jiao Tong University
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Gong Xinbao
Department Of Electronic Engineering Shanghai Jiao Tong University
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Ling Xiaofeng
Department Of Electronic Engineering Shanghai Jiao Tong University
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