本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。

In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.

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文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。

A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.

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针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。

Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.

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