sdm

A Method of Chinese Character Associative Memory Based on SDM Model

一种基于稀疏分布记忆模型的汉字联想记忆方法

Describes considerations for working with SDM documents under source code control .

描述使用源代码管理下的sdm文档时的注意事项。

Lean Production Theory Application Research in SDM

SDM公司精益生产理论应用研究

Expert information system for land grading on the basis of GIS and SDM integration

GIS与SDM集成构建土地定级专家信息系统的研究

An Implementation of Handwritten Chinese Character Associative Memory System based on an Improved SDM Model

一个基于SDM改进模型的手写体汉字联想记忆系统的实现

The SDM mode is used in sublance automatic control system of No.

介绍了达涅利康力斯的转炉副枪系统、静态和动态控制模型。

Exploratory right Discussion on Connected Weight Matrix A in SDM

关于稀疏分布存贮模型中A连接权阵的讨论

Construct the utility SDM system and give a new method to mine valuable information from large-scale numerical value simulation data .

建立实用的科学数据挖掘系统，为从大规模数值模拟数据中提取有价值的信息提供有效的新方法。

Oriented - problem SDM model

面向问题的稀疏分布式记忆模型

The thermodynamics and mechanism of adsorption processes were studied on the basis of linear parameter from SDM A.

根据吸附模型的线性参数研究了吸附热力学和吸附机理。

Access and utilize the router to set basic parameters . ( including : CLI / SDM )

访问路由器并配置基本的参数（包括命令行方式和SDM方式）

Then SDM is designed to meet the needs of the shortest path and obstacle avoidance .

然后基于栅格地图进行SDM的设计，来满足最短路径和避障等的需要。

In addition to this data , SDM documents can also contain graphical information for diagram items and extended data definitions .

除此数据之外，sdm文档还可包含关系图项和扩展数据定义的图形信息。

Based on the SDM ( state , dynamic and measurement ) hybrid feedback method , the control strategy of the governor is derived .

该技术的关键是采用了状态动态测量（SDM）的反馈方法。

This quick start guide shows you how to connect your PC to your router and begin using SDM .

这个快速使用手册让你知道如何用你的PC连接到路由器并开始使用SDM。

Spatial clustering is not only an important effective method but also a prelude of other task for Spatial Data Mining ( SDM ) .

空间聚类分析不仅是空间数据挖掘的重要有效方法，同时也是其它挖掘任务的前奏。

Dynamic analysis and SDM ( structural dynamic modification ) on the side gearbox of 1G-175 rotary tiller

1G-175旋耕机侧边齿轮箱箱体的动态分析及结构动力修改

The paper presents a novel two the-layered pattern recognition system on the basis of both WISARD and SDM .

根据SDM的概念，在WISARD的基础上，本文提出了一种新颖的双层自适应模式识别系统模型。

However , project files , such as SDM documents and class files , are kept synchronized with changes to the application definition .

但是，诸如sdm文档和类文件等的项目文件与应用程序定义的更改保持同步。

One belongs to digital circuit ( SDM ), and the other is analog part ( D-class Amplifier ) .

另一个是模拟部分，即D类（开关式）放大器。

Function approximation experiment demonstrates that this new model can get better performance than CMAC and approximate SDM by selecting parameters appropriately . 4 .

函数逼近的实验表明该新模型通过选择适当的参数，逼近效果远优于SLLUP和逼近型SDM。

In this paper , the method of weighted orthogonal Improvement of experimental modal and its application in Structural Dynamic Modification ( SDM ) was introduced .

本文介绍了试验振型的加权优化修正及其在结构动力修正中的应用。

If an SDM document is not compiled , the document is accepted as long as its name matches the reference .

如果sdm文档未编译，则只要文档名称与引用匹配就可以接受该文档。

SDM documents are identified using the following set of attributes : document name , version , culture , platform , and public key token .

使用以下属性集标识sdm文档：文档名称、版本、区域性、平台和公钥标记。

Optionally , you can create the export directory structure with labels , and you can archive SDM and application specific file system content .

一种可选的做法是，创建带标签的导出目录结构，并归档特定于SDM和应用程序的文件系统内容。

The theory of Cloud is introduced into SDM domain . The basic notion and character of Cloud , and the extended models are studied .

将云理论引入空间数据挖掘领域，系统地研究了云理论用于空间数据挖掘的基础理论和方法，包括云模型的基本概念和性质、云模型的扩展模型等。

Macrokinetics of sulfur - tolerant methanation SDM - 1 catalyst

SDM-1型耐硫甲烷化催化剂宏观动力学

Thus , the SDM , as a multiplex system parallel to FDM and TDM , can be perfectly applied to telemetry .

因此SDM作为一个与FDM和TDM相平行的多路复用系统是完全能用于遥测中的。

The approximate SDM has been presented by modifying original SDM 's structure and algorithm , retaining original SDM 's characteristic of sparse distribution .

在保留SDM的稀疏分布存储特征的基础上修改了SDM的结构和学习算法，提出逼近型的SDM模型。

In this paper , a fuzzy matching criterion of membership function based on shape description matrix ( SDM ) is presented to analyze and compare shape characteristics of images .

将模糊匹配方法与形态矩阵方法相结合，构造了形态矩阵模糊匹配关系的隶属函数，并给出了形态矩阵的模糊匹配判据，用以比较图像的形态特征。