| 1. | Meanwhile , uniform incidence degree arithmetic can exactly obtain the correlation between variables , which is an effective way to select secondary variables
同时，一致关联度算法可以准确的提取变量间的相关性，是一种有效的辅助变量选择方法。 |
| 2. | It can be seen from the above definition that the selection of secondary variables is of great importance for building an effective and mature soft sensor model and this dissertation devoted to this problem
从上述定义可以看出，辅助变量的选择对建立一个成熟有效的软测量模型至关重要。 |
| 3. | The engineering design of soft measurement includes the principle analysis , choice of the secondary variables , data acquisition and preprocessing , modeling of mathematics model and design of the correction module
软测量的工程化设计包括机理分析、辅助变量选择、数据采集和预处理、建立软测量模型、设计校正模块等步骤。 |
| 4. | 4 . the predictive inferential control of siso and mimo cascade systems is studied . an algorithm is developed , which verifies the estimations for unmeasurable primary outputs with errors between real - measured values and predicted values of secondary variables
利用可测变量的实测值与预测值的差值对不可测变量估计值进行修正，构成不可测变量的预测推断控制。 |
| 5. | This paper studies the chemical data pretreatment and describes the contents and methods in various phases of data pretreatment such as secondary variables selection , data acquisition , data reconciliation , and input data dimension reduction
摘要对化工数据预处理问题进行了研究，阐述了化工数据智能建模中辅助变量选择、数据采集、数据校正、输入数据降维等各种数据预处理的思路与方法。 |
| 6. | Based on neural network , a novel design of soft - sensor is presented , in which grey , relation analysis as an assistant tool of secondary variables selection in the modeling course of soft - sensor is used to predict the fracture energy and crack length of concrete bending beams
基于神经网络提出了一种新的软测量方法，采用灰关联分析作为软测量建模中辅助变量选择的工具，对土木工程中常用的混凝土弯曲梁的断裂能和断裂区长度进行预测。 |
| 7. | Based on neural network theory , it takes pressure of upper cavity as secondary variable and punching power as primary variable to build model of soft sensing . thus punching power can be predicted using system pressure because of their functional relation . this type of measurement technology provides a new method to parameters measurement which is n ' t easy to got directly
以液压缸上腔压力为辅助变量，桩锤下打力为主导变量，利用函数型神经网络理论建立了两者之间的软测量模型，找到了液压系统油液压力和桩锤下打力之间的函数关系，从而为获取不易直接测量参数提供一种新方法。 |
| 8. | Its basic principle is to select a set of secondary variables that are easy to detect and have close relationship with the primary variable according to certain " optimal " criteria . the selected secondary variables are then used to obtain the on - line estimation of the primary variable by constructing some mathematic relationship between these variables
软测量技术的基本原理是根据某种最优准则，选择一组在工业上容易检测而且与主导变量有密切关系的辅助变量，通过构造某种数学关系，用计算机软件实现对主导变量的在线估计。 |
| 9. | Taking the soft ? sensing of oxygen content in flue gas , unburned carbon content in fly ash and coal load in ball mill as examples , we emphatically analyze the current status , modeling method of their soft ? sensing and the secondary variable selection in the soft ? sensing ; and also summarize some other thermal parameter soft ? sensing techniques in our country , which is a guidance for the development of the thermal parameter soft ? sensing technique in power plant , and has some value for the optimization of thermal control systems
以烟气含氧量、飞灰含炭量、球磨机负荷为例，着重分析和总结了其测量的现状、软测量建模方法和二次变量的选取，并概括了国内现有的其他热工参数软测量技术，对火电厂热工参数软测量技术的发展具有一定的指导意义，对热工控制系统的优化具有一定的参考价值。 |
| 10. | The selection of secondary variables is to find a subset of a pre - specified set of independent variables , which can best describe the dependent variables , or to select a subset of the original data which contains a relatively a small number of variables in such a way that the selected subsets of variables retain , as much as possible , the overall multivariate structure of the complete original data
所谓辅助变量的选择就是在一系列预先给定的自变量集合中找出其中的一个子集，使得这个子集能够对因变量进行最好的描述，或者找出一个变量集的子集，使得这个子集能够包含较少的变量，同时能够尽可能地保持原来的完整数据集的多元结构特征。 |
