A method for designing the radial basis function neural network based on the genetic algorithm was proposed,a certain mine sweeping plough with complex and nonlinear characteristic was modeled by the method.In order to improve the accuracy of the designed model,a genetic algorithm is used to optimize centers of the neural network.The maximum distance measure is adopted to determine the widths and the least square method is utilized to calculate the weights of the neural network,thus computational burden of ...
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