In processing the software data, the theory of partial repeatability offers a criteria for evaluating different classifier by building "center function", "fluctuation zone" and "correctness factor".

在对复杂数据的处理过程中，“部分重复性”理论通过建立“中心函数”、“浮动域”和“正确度”指标，提供了一种分类优劣的评价标准。

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For a neuro_fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result.

针对一类基于模糊感知器的神经模糊分类器，分析了隶属函数限制条件对分类结果的影响。

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In this paper, considering the features of remote sensing images, we proposed a remote sensing image classifier using radial basis function neural network.

针对遥感图象分类的特点，提出了一种径向基函数神经网络的遥感图象分类器。

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