----GRNN network prediction based on generalized r
2016-08-23
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Generalized regression neural networks (Generalized Regression Neural Network, referred to as GRNN) is a United States scholar Donald f. Specht proposed in 1991, it is one of the radial basis function network. GRNN has is strong of nonlinear mapping capacity and flexible network structure, and height of fault-tolerant sex and robustness, for nonlinear problem of research, in approximation capacity and learning speed Shang more RBF network has strong of advantage, network last convergence Yu sample volume accumulation more of optimization return surface, and in sample data less Shi, forecast effect also better, also, network also can processing not stable of data. GRNN in signal process, structural analysis, education, industry, energy, scientific decision-making, control systems, drug design, finance, bio-engineering and other fields has been widely used.
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grnn
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