给出了基于径向基函数网络的混沌时间序列预测的方法。

A method based on radial basis function networks for forecasting chaotic time series is proposed.

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讨论了基于径向基函数网络(RBFN)的地图数字注记识别问题。

The problem of recognition of numeric text in topographic maps based on radial basis function network (RBFN) is discussed in this paper.

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然后基于径向基函数神经网络的信息融合技术建立全舰统一姿态基准系统。

Then the unite attitude reference system of the whole ship is built based on the information fusion on the radial basis function neural networks.

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