自组织映射(self-organizing feature mapping)是一种无指导的聚类方法。模拟人脑中处于不同区域的神经细胞分工不同的特 …www.baike.com|基于4个网页 例句 释义: 全部,自组织映射 更多例句筛选 1. An Improved Self-organizing Feature Mapping Algorithm Based on Image Compression 一种改进的自组织特征映射图像压缩...
SELF-ORGANIZING FEATURE MAPPING[直译]自组织特征映射[详尽释义]1. 自组织映射 SELF-ORGANIZING FEATURE MAPPING是什么意思?以上就是SELF-ORGANIZING FEATURE MAPPING的含义解释和发音。[最近查询] DELAMOTTE DEFOCUSED BEAM DECORATED GYPSUM BOARD FIND THE CONTENT USEFUL EXPENSIVE DIAMOND ELHANAN EOA DEFORMATION FABRIC ...
A self-organizing feature map is defined as a neural network technique that captures the topology and probability distribution of input data by updating the weight matrix based on a bi-dimensional Gaussian function during the training stage.
2.Then self-organizing mapping(SOM) and Hopfield ANN were integrated.该方法首先把排样和制造工艺联系起来,将多边形各边向外扩充,为零件预留加工余量;然后采用自组织特征映射模型(SOM)和Hopfield人工神经网络相结合的方法,运用SOM神经网络对初始在板材内随机排布的不规则零件进行平移,逐步减小不规则零件之间的重叠面积...
Self-organizing mapThis study deals with solving uncapacitated location-allocation (LA) problems with rectilinear distances by using a method based on Kohonen self-organizing feature maps (SOFMs). By treating LA problems as clustering problems, this method has the advantage of extracting the structure...
什么... ... Self-Organizing Teams 自组织团队self-organizing mapping映射 ; 自组织映射聚类 ; 自组织映射 ;采用自组织映射... dict.youdao.com|基于2个网页 2. 使用自组织映射 马尔科夫模型_百度文库 ... [2]使用自组织映射(self-organizing mapping, [5,6]分别 采用 最近 特征 线( nearest feature li...
5.THE PATTERN RECOGNITION OF AIR LEAKAGE INTO BOILERS BASED ON SELF ORGANIZING CHARACTOR REFLECTING NETWORK基于自组织特征映射网络的锅炉漏风模式识别 6.Vector Quantization Based on Self Organizing Feature Map Neural Network基于自组织特征映射神经网络的矢量量化 ...
This report uses a self‐organizing map to classify normal and disordered voices. The self‐organizing feature map (SOFM) is essentially a two‐dimensional representational mapping over an array of processing units of the multidimensional nonlinear regularities inherent in the input data space. The ...
This paper presents a new nonintrusive energy monitoring method using a hybrid self-organizing feature-mapping neural network (SOFMNN). The components of the FFT spectra for voltage, current, kW and kVAR, measured at the PCC, serve as the signatures for the hybrid SOFMNN inputs. The ...
The feature distribution of the standard patterns is mapped onto that of the handwritten pattern. Feature mapping with structural constraints, which can provide flexible mapping and very fast convergence, is proposed. Feature mapping results based on the similarity between the distorted pattern and the...