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Logistics forecasting is useful to optimize the allocation of resources. Radial basis function(RBF) neural network has strong ability in nonlinear forecasting and high training speed. However, in the radial basis function neural network, the three parameters: the output weights, the centers of radial basis function hidden units and widths of radial basis function hidden units need to be optimized...
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