Hidden Markov Modeling for Weigh-In Motion Estimation.

机译：用于Weigh-In motion估计的隐马尔可夫模型。

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This paper describes a hidden Markov model to assist in the weight measurement error that arises from complex vehicle oscillations of a system of discrete masses. Present reduction of oscillations is by a smooth, flat, level approach and constant, slow speed in a straight line. The model uses this inherent variability to assist in determining the true total weight and individual axle weights of a vehicle. The weight distribution dynamics of a generic moving vehicle were simulated. The model estimation converged to within 1% of the true mass for simulated data. The computational demands of this method, while much greater than simple averages, took only seconds to run on a desktop computer.

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作者
E. M. Ferragut R. K. Abercrombie S. D. Boone;
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年度 2013
页码 1-8
总页数 8
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Axles; Estimating; Markov processes; Moving vehicle weight measurement; Oscillations; Variability; Vehicles; Weight indicators;

机译：车轴;估算;马尔可夫过程;移动车辆重量测量;振荡;可变性;车辆;重量指标;

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1. Hidden Markov Models for Time Series : An Introduction Using R . Walter ? Zucchini , Iain L. ? McDonald , and Roland ? Langrock , Boca Raton , CRC Press Hidden Markov Models for Time Series Hidden Markov Models for Time Series : An Introduction Using R An Introduction Using R . Walter ? Zucchini Walter Walter ? Zucchini Zucchini , Iain L. ? McDonald Iain L. Iain L. ? McDonald McDonald , and Roland ? Langrock Roland Roland ? Langrock Langrock , Boca Raton Boca Raton , CRC Press CRC Press [J] . Patterson Toby Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2019,第2期

机译：隐藏的马尔可夫模型时间序列：使用r的简介。沃尔特？西葫芦，Iain L.？麦当劳和罗兰？ Langrock，Boca Raton，CRC压力隐马尔可夫模型用于时间序列隐藏式马尔可夫型号的时间序列：使用R引言使用R引言。沃尔特？西葫芦沃尔特沃尔特？西葫芦夏南瓜，Iain L.？麦当劳Iain L. Iain L.？麦当劳麦当劳，罗兰？ Langrock Roland Roland？ Langrock Langrock，Boca Raton Boca Raton，CRC按CRC压力机
2. Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation. [J] . Hame Y, Pollari M Medical image analysis . 2012,第1期

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3. Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes [J] . Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Frontiers in Neurorobotics . 2017,第4期

机译：用隐藏的半马尔可夫模型和高斯过程分割连续运动
4. Motion modeling and search method based on hidden Markov model for motion database [C] . Ohnishi Yoshihiro, Katsura Seiichiro 37th Annual Conference on IEEE Industrial Electronics Society . 2011

机译：基于隐马尔可夫模型的运动数据库运动建模与搜索方法
5. Hidden Markov models for simultaneous testing of multiple gene sets and adaptive and dynamic adaptive procedures for false discovery rate control and estimation. [D] . Liang, Kun. 2010

机译：用于同时测试多个基因集的隐马尔可夫模型以及用于错误发现率控制和估计的自适应和动态自适应程序。
6. Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes [O] . Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, 2017

机译：用隐藏的半马尔可夫模型和高斯过程分割连续运动
7. Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes [O] . Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, 2017

机译：用隐马克 - 半马尔可夫模型和高斯过程分割连续运动
8. Theory of Continuous-State Hidden Markov Models and Hidden Gauss-Markov Models. [R] . Ainsleigh, P. L. 2001

机译：连续状态隐马尔可夫模型理论与隐式高斯马尔可夫模型。

Hidden Markov Modeling for Weigh-In Motion Estimation.

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