The waggon must whither the horses draw it.

He gets his waggon ready.

他准备好他的马车.

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The oan agged man drags a _ waggon of rag fragments.

那个衣衫褴褛的?拉着一货车破布碎片.

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The waggon must go whither the horses draw it.

谚---马拉到哪里,车就跟到哪里;胳膊扭不过大腿.

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A merry companion is a waggon in the way.

旅伴爱笑闹,不觉路途遥.

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We rode in the farm waggon to the town.

我们乘坐农场的货车进城.

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The rickety little waggon was already laden.

那辆摇摇晃晃的货车,已经装好了车子.

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Someone jumped out from the foremost waggon.

有人从最前面的一辆马车里跳下来。

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The enemy attacked our waggon train.

敌人袭击了我们的运货马车队。

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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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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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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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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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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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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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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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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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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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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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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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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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