对径向基函数网络(radial base function neural network,RBF)在云分类问题研究中的应用价值进行了全面的测试与分析,得到了肯定的结论,提出了优化设计的方法.
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The hidden-layer R of RBF neural network consists of a set of RBF (radial base function).
径向基函数（RBF）神经网络隐含层R由一组径向基函数构成。
Using radial base function (RBF) artificial neural network and multi-source remote sensing imagery, the status of soil salinization in an area of north china is studied with satisfactory results.
文章应用径向基（RBF）人工神经网络，结合多源遥感影像对北方某地区耕地土壤盐渍化状况进行调查研究，取得了满意的效果。
The experimental data are trained using a radial base function artificial neural network, and the weight values for data fusion are obtained.
采用径向基函数神经元网络对实验数据进行训练，得到融合网络的权值。
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