series identification

Classification Quality Analysis for Discriminate Function of Turbogenerator Vibration State Time Series Identification System

机组振动状态时序识别系统的判别函数分类性能分析同步辐射时间分辨荧光光谱技术

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A series of identification schemes can be constructed on the basis of the two schemes.

由这两个方案可构造一系列身份验证方案。

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By means of theory analysis and experiment computing, the paper researches modeling algorithms, discriminant function and other questions about time series identification system and establishes a useful time series identification system of steam turbogenerator unit rub vibration state.

通过理论分析和试验计算，研究了时序识别系统的建模算法及判别函数等有关问题，建立了一个有效的汽轮发电机组的摩擦振动状态识别系统。

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Classification Quality Analysis of Discriminators of an AR Model Based Time Series Identification A MOMENT PROPERTY OF AN ESTIMATOR IN AN AR MODEL

自回归模型时序识别系统的判别函数分类性能分析

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Simplified Volterra Series Identification Method Based on BLMS Filter

一种基于BLMS的Volterra级数简化辨识方法

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Study on a Simplified Volterra Series Identification Method and Its Application

一种Volterra级数简化辨识方法及其应用研究

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Results: A series of identification methods were established with simple, rapid, stable, and reproductive features.

结果：建立起系列鉴别方法。定性鉴别快速，重现性好，稳定可靠。

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To reduce the computational complexity of Volterra series on-line identification based on batch least square filter, and to save the data store spaces needed, an identification method based on recursive batch least square filter was proposed and applied to nonlinear fault diagnosis.

针对批量最小二乘在线辨识Volterra级数存在计算量大，数据存储空间占用多的不足，提出了一种基于递推批量最小二乘的辨识方法。

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The Series Identification and Classification and Mapping References Based on Different Classification Systems for Soils in Baihuashan, Beijing Region

北京百花山地区土系鉴定及其在不同土壤分类体系中的分类与制图参比

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The dynamic self-feedback neural network for time series identification

时间序列辨识的动态自反馈神经网络

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Volterra Series Identification Method Based on Recursive Least Square Algorithm

基于递推批量最小二乘的Volterra级数辨识方法

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Time Series Identification of Steam Turbogenerator Unit Rub Vibration State

汽轮发电机组摩擦振动状态的时序识别

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Application of ARMA Time Series Model in Identification of Modal Parameter

ARMA时序模型在模态参数识别中的应用

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This dissertation explores and studies the fractal and multifractal theory, as well as their application in Chinese stock market price series identification and prediction, and obtained the following results: 1. Study the fractal and multifractal theory.

本文探讨和研究了分形及多重分形的有关理论及其在中国股票市场的价格序列辨识与预测方面的应用，并取得如下主要研究成果：1、研究分形与多重分形的一些基本理论。

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Wavelet series identification of linear infinite-dimensional systems

无穷维线性系统的小波级数辨识

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