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## self-organizing map

• 自组织映射

### 网络释义专业释义英英释义

自组织映射

自组织特征映射

以及自组织映射算法

...括 k-Nearest Neighbor(KNN), 学习矢量量化（Learning Vector Quantization， LVQ），以及自组织映射算法Self-Organizing Map，SOM 正则化方法 正则化方法是其他算法（通常是回归算法）的延伸，根据算法的复杂度对算法进行调整。

自组织映射图网路

Self-Organizing Map 自组织映射 ; 自组织映射图网路 ; 网路 ; 映射图 Self-Organizing Maps 自组织映射 ; 自组织特征映射 ; 分析法 ; 自组织网络 ..

Self-organizing Map Clustering 自组织映射图网络

hierarchical self-organizing map 层次自组织特征映射

self-organizing map network 自组织映射网络

Bayesian self-organizing map 贝叶斯自组织映射

a self-organizing map 自组织映射网络

Self-organizing Feature Map 自组织特征映射网络 ; 自组织特征映射 ; 神经网络

self-organizing feather map 自组织映射 ; 自组织特征映射

更多收起网络短语
• 自组织映射 - 引用次数：57

Classical feature extraction methods include: Principle Component Analysis、Singular Value Decomposition、Projection Pursuit、Self-Organizing Map, and so on.

传统的特征提取方法主要有:主分量分析、奇异值分解、投影追踪、自组织映射等。

参考来源 - 模式分类特征提取中的独立分量分析
自组织映像
• 自组织映射 - 引用次数：3

Then using the Self-Organizing Map network (SOM), the load sequence of one week canbe divided into four load types.

然后利用自组织映射网络(SOM)对负荷序列进行分类，可将一周负荷分为四种负荷类型。

参考来源 - 基于小波变换和神经网络的短期负荷预测研究

·2,447,543篇论文数据，部分数据来源于NoteExpress

#### Self-organizing map

• A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map. Self-organizing maps are different from other artificial neural networks in the sense that they use a neighborhood function to preserve the topological properties of the input space.

### 双语例句

• Further more, the pattern identification model of boiler operation based on self-organizing map (SOM) networks is established.

此基础上， 建立基于组织特征映射网络SOM锅炉运行模式识别模型

• As a method of neural network, the self-organizing map(SOM) is an excellent tool for data mining, machine learning and pattern classification.

组织特征映射作为一种神经网络方法数据挖掘机器学习模式分类中得到了广泛应用

• And for some applications, higher capability of neighborhood preservation is required so a dimension-increasing self-organizing map is presented as a solution.

因此一个学习中可以渐增神经元阵列维度自我组织相邻关系保存要求较高情况下，提供了一个解答

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- 来自原声例句