model correction meaning in Chinese
模型修正
Examples
- Linear least square was adopted as model correction algorithm according to the characteristics of the chemical process faults , computation speed could therefore be increased
该方法不需要设计观测器来估算过程的不可测变量，还可以将故障检测和诊断任务同时进行。 - Abstract : the principle ， application scopes ， model establishment and model correction of the soft measurement as well as its influence upon detection and control systems are discussed
文摘:讨论了软测量的原理、应用场合、模型建立和模型校正，以及它对检测和控制系统的影响。 - ( 2 ) model correction and comparison in the process of conversion from zenith day delay to gps water vapor and precision evaluation . saastamoinen ( sa ) model and hopfield ( h ) for dry delay and bevis model for atmospheric weighted temperature are adopted
( 2 )模型订正与比较在gps水汽反演过程中，一般干延迟和大气加权平均温度的计算是采用“普适性”模型，目前应用较多的有saastamoinen ( sa )模型、 hopfield ( h )模型和bevis模型。 - In this paper , we study that how to estimate the coordinate of currenly epoch using the observation preferably in the dynamic navigation . we study the mathematical models and methods for cleaning data in absolute positioning . and , we also studied the ionosphere model correction , the troposphere model correction and the rotation of the earth model correction . from studying , we improve the methods which smoothing pseudoranges in using phase
本文主要研究动态导航应用中，如何较好利用观测量来估计出当前历元的点位坐标，系统研究了绝对定位数据净化的模型和方法，研究了电离层模型改正、对流层模型改正及地球自转模型改正，改进了载波平滑伪距的方法。 - The dual standard quantity ( the work piece and the discrete standard quantity ) mutual measuring and model verification methods are also proposed , which perfects the whole modifying process from data measuring , error separation , model establishment to real correction . after researching the discrete standard quantity system dynamic error separation technique , two error correction methods based on genetic algorithm and neural network mixed modeling technique are established . the two methods are the discrete standard quantity dynamic error direct / synchronous correction and prediction model correction ; the model ' s parameters and model ' s exercising method are also confirmed
设计了双标准量值(工件和离散标准量)互比测量的模型验证方法，完善了从数据测量、误差分离、模型建立到实际修正的整个修正过程；研究了离散标准量系统动态误差分离技术，建立了基于遗传进化算法与神经网络混合建模技术的两种误差修正方法? ?离散标准量动态误差直接(同步)修正方法和预报模型修正方法，并确定了模型结构参数和模型训练方法；分析了预报模型的多次预报性质，并得出了多次预报与多步预报的等效关系，确定了测量系统的有效预报范围以及模型参数对泛化误差的影响；进行了模型的对比实验验证和被测工件动态误差修正试验，成功地实现了任意二面角和圆分度的实时误差修正。