A quantum self-organization feature mapping networks model and its clustering algorithm are presented.
提出一种量子自组织特征映射网络模型及聚类算法。
Mapping knowledge is represented and organized by means of Object-Oriented technique. System KB and procedure KB drive the two-way feature mapping.
映射知识以特征为对象按面向对象技术表达和组织，由系统知识库和过程知识库共同驱动双向特征映射的实现。
This paper elaborates the constraint-based method and gives the realizing approach to the hole-series feature mapping. It's verified by a component instance.
重点阐述孔系约束匹配法及基于约束的孔系特征映射实现方法，并给出实例验证。
The principle of feature mapping for box components has been discussed. It consists of feature selection, classification, match, decomposition, and machining judgement.
箱体类零件特征映射的过程包括特征筛选、特征分类、特征匹配、特征分解和可加工性评估。
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.
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。
The relations between design feature, machining feature and cost feature are studied. Cost estimating model based on feature mapping and its application method are presented in concurrent engineering.
研究了设计特征、工艺特征和成本特征之间的相互关系，按照并行工程思想，提出了与设计进程并行的基于特征映射的成本估算模型，研究了模型的实现方法。
Isometric Feature Mapping (ISOMAP) not only has high complexity but also can not learn new samples.
等距特征映射(ISOMAP)不仅计算复杂度很高，而且缺乏对新样本的学习能力。
Isometric Feature Mapping (ISOMAP) not only has high complexity but also can not learn new samples.
等距特征映射(ISOMAP)不仅计算复杂度很高，而且缺乏对新样本的学习能力。
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