| 1. | Improved self - organizing feature maps algorithm
一种改进的自组织特征映射算法 |
| 2. | A sofm algorithm for vector quantizing
基于自组织特征映射的矢量量化方法 |
| 3. | Some new results on 2 - eigenmaps between spheres
特征映射的一些新结果 |
| 4. | A kind of synthetic evaluation mode based on sofm networks
基于自组织特征映射网络的综合评价模型 |
| 5. | Parts feature mapping of the non - geometrical shape from desing domain to manufacture domain
设计域到制造域的零件非几何形状特征映射 |
| 6. | Apply self - organizing map text mining algorithm to analyze chinese ergonomics research area
文本挖掘中运用自组织特征映射算法分析中国人类工效学研究状况 |
| 7. | Simulating study of cfl learners ' chinese orthographic awareness development based on self - organizing feature map network
基于自组织特征映射网络的汉字习得模型 |
| 8. | ( 3 ) an algorithm for classification of texture image based - on spectrum histogram and self - organized feature mapping network in proposed
三、提出一种基于纹理谱直方图和自组织特征映射网络( sofm )的纹理分类算法。 |
| 9. | Secondly , self - organizing map network are researched and the characteristics of the netowork are figured out through simulated experiments
其次,对神经网络中的自组织特征映射网络模型进行研究,并通过实验对网络特性进行分析讨论。 |
| 10. | In this thesis , a feature modeling method named holographic feature modeling is discussed . it can represent designing and manufacturing process of parts by features mapping
该模型是一种以全局零件信息为核心，目的驱动的动态模型，通过特征映射以实现具体应用。 |
