1) Multi-layer Self-Organizing Map
多层自组织映射
2) multi-layer self-organization feature mapping
多层自组织特征映射
1.
MLSOFM, a vector quantization method with multi-layer self-organization feature mapping, is presented in this paper.
本文提出了一种采用多层自组织特征映射MLSOFM实现矢量量化的方法。
3) self-organizing map
自组织映射
1.
User interest modeling method based on dynamic self-organizing map neural network;
基于动态自组织映射网的用户兴趣建模方法
2.
Word Clustering Based on Self-Organizing Map;
基于自组织映射神经网络的词自动聚类
3.
In order to solve the problem of hardly identifying the lithology on the complex reservoir,we bring forward a model on the identification of lithology based on growing hierarchical self-organizing map networks,and a test on JIN66 well to identify well lithology has been made.
针对复杂类型油气储层的岩性识别难的问题,提出了一种新的基于生长分层自组织映射网络的岩性识别模型,并对金衢盆地金66测井数据进行仿真试验。
5) self-organizing maps
自组织映射
1.
Research of Text Clustering Based on Self-Organizing Maps;
基于自组织映射的文本聚类研究
2.
Aiming at differentiating computer graphics from natural image in a color image, color quantization is achieved by adaptive self-organizing maps and the number of colors is reduced to facilitate the subsequent segmentation and recognition of color images.
计算机图形分离就是在由计算机生成的图形和自然图像合成的混合图像中将人工区域和自然区域分开 利用自适应自组织映射对彩色图像进行量化 ,针对每种颜色组成一个色平面 ;然后将色平面转换成二值图像 ,对其中的连通区域进行快速标记 ,并提取出边缘 将标记后的区域和边缘映射到原图像 ,定义并计算每个区域的粗糙度和边缘对比度 ,最终完成各个连通区域的识别 实验结果表明 ,该方法具有一定的实用
3.
A novel approach to improve color quantization based on self-organizing maps for computer graphics partition is proposed.
提出了一种用于计算机图形分离的自组织映射彩色量化改进方法,该方法首先将自组织映射的输出神经元分成灰度组和彩色组分别进行初始化,在训练过程中分别训练灰度组和彩色组中的神经元,同时采用生长、修剪及合并方案来自适应地调整神经网络的结构。
6) self-organizing mapping
自组织映射
1.
Network traffic classification based on self-organizing mapping
基于自组织映射网络的流量分类算法
2.
Clustering Algorithm of Self-Organizing Mapping Neural Networks can make input signal pattern of any dimensions into disperse mapping of one or two dimensions,and make this transform self-organizing topologically ordinal.
通过自组织映射神经网络实现的聚类算法能将任意维数的输入信号模式转变为一维或二维的离散映射,以拓扑有序的方式自适应实现这个变换。
3.
An improved method,self-organizing mapping is proposed and the classic updating rule of self-or- ganizing mapping is modified to segment merged-symbols.
用自组织映射神经网络作为粘连字符分割的方法,对经典的自组织学习规则做了一些改进,使其以较少的神经元结点、较快的速度逼近粘连字符的白像素点的分布。
补充资料：多层沉积层
分子式：
CAS号：
性质：由两种或两种以上相继沉积的金属构成的沉积层。这些沉积层可以由不同特性的同一金属或不同金属构成。如为了提高镍镀层的防护性，有时采用双层镍或三层镍镀层。又如为防护-装饰目的采用的铜/镍/铬三层镀层。
CAS号：
性质：由两种或两种以上相继沉积的金属构成的沉积层。这些沉积层可以由不同特性的同一金属或不同金属构成。如为了提高镍镀层的防护性，有时采用双层镍或三层镍镀层。又如为防护-装饰目的采用的铜/镍/铬三层镀层。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条