实验结果表明，应用基于改进的自组织映射网络模型进行融合，分类融合结果较好，较基于基本自组织映射网络的影像融合分类精度提高约8%。
The result shows that the fusion image using the modified Kohonen networks in better than that using the Kohonen networks only, and the classification accuracy is improved about 8 percent.
本文应用多层前馈神经网络和自组织特征映射神经网络分别对简单目标和复杂飞机目标进行了分类识别。
The classification of simple and complex objects is investigated using the multiple layer forward neural network and the self-organizing feature map network.
本文试图对自组织映射神经网络（SOM）应用于汉语名词语义自动聚类做某些改进。
This paper tries to make some improvements on applying Self-Organizing-Map (SOM) to automatic clustering of Chinese nouns, so as to generate a better Chinese semantic map.
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.
试验表明，只要样本空间映射合理，这种自组织无监督的神经网络具有很好的自学习功能，在工程中具有广泛的应用前景。
The test proves that if prototype space mapping is reasonable, then this unsupervised learning ANN has good self - learning function. It has good application in engineering.
试验表明，只要样本空间映射合理，这种自组织无监督的神经网络具有很好的自学习功能，在工程中具有广泛的应用前景。
The test proves that if prototype space mapping is reasonable, then this unsupervised learning ANN has good self - learning function. It has good application in engineering.
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