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Description: ARMA model simulation
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Size: 1024 |
Author: huangchen |
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Description: 时间序列中的自回归移动平均模型（ＡＲＭＡ），可以进行实时预测-A sequence of time regression moving average (ARMA) model, can real-time prediction
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Size: 441344 |
Author: haiter |
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Description: 在C++的平台上，实现了ARMA模型的建立。程序运行效率高，预测精度准确。-The estabilishment of ARMA model is enforced on the basis of C++. The efficiency of its procedure is high and the precision of calculation is accuracy.
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Size: 7168 |
Author: 高远 |
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Description: ARMA模型的建模， 对数据进行的预处理，对模型进行了定阶，参数估计，检验，利用该模型对未来的数据进行了预测。-ARMA model modeling the data preprocessing, model order determination , parameter estimation , testing , using the model to predict future data
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Size: 4096 |
Author: wujianjun |
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Description: 一个自己实现的简易ARMA模型，运行MainDemoTest.java可以直接进行测试。主要用于ARMA建模。-a simple arma demo, you can ran MainDemoTest.java to test it.
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Size: 55296 |
Author: 周世玉 |
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Description: 一篇介绍ARMA时间序列模型定阶方法的文章，供大家参考。-a paper about order determination method for ARMA time series model .
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Size: 659456 |
Author: 雷柯 |
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Description: 用matlab 根据AIC准则确定arma模型阶数。-Matlab AIC criterion according to determine the arma model order number.
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Size: 11264 |
Author: 小子 |
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Description: ARMA模型对信号处理的很好工具，对模型进行拟合，有很好的拟合效果-ARMA model a good tool for signal processing, model fitting, a good fitting
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Size: 1024 |
Author: wang |
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Description: ARMA模态参数识别，振动信号处理应用与研究，应用MATLAB编程实现模态参数提取研究-ARMA modal parameter identification and vibration signal processing applications and research, using MATLAB programming to achieve the modal parameter extraction of
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Size: 2048 |
Author: dan |
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Description: 基于改进的ARMA模型 定阶预测方法，经过调试，程序能顺利运行-Improved ARMA model order prediction method, after debugging, the program can run smoothly
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Size: 1024 |
Author: 痕迹 |
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Description: 采用小波和ARMA模型对时间序列进行预测-Wavelet and the ARMA model to forecast the time series
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Size: 4096 |
Author: 李枫 |
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Description: arma模型的具体实现代码， 可以用-arma model of the specific code, you can use
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Size: 1024 |
Author: trkq |
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Description: 运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。-Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.
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Size: 9216 |
Author: 鹿丸九 |
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Description: 利用遗传算法对ARMA(p,q)模型进行优化，减少人为因素在模型定阶过程的影响，通过构建基于遗传算法的ARMA(p,q)模型，确定ARMA模型的具体阶数，并对航空发电机的状态趋势进行分析。-ARMA (p, q) model to optimize the use of genetic algorithms to reduce the impact of human factors in the process of model order, by constructing ARMA (p, q) model based on genetic algorithms to determine the specific order of the ARMA model, and aviation generator state trend analysis.
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Size: 19456 |
Author: 鹿丸九 |
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Description: 实现了二维的ARMA/AR时序模型，可用于结构模态识别。-ARMA/AR timing of the two-dimensional model can be used to structure modal identification.
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Size: 4096 |
Author: Kuan |
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Description: ARMA时间序列法预测模型，有示例数据及注释等-autoregression----moving average
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Size: 1024 |
Author: 毛毛 |
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Description: 根据《现代数字信号处理》（姚天任等，华中理工大学出版社，2001）第四章附录提供的数据(pp.352-353),用ARMA模型法估计其功率谱，并画出不同参数情况下的功率谱曲线。-According to the modern digital signal processing (Yao Tianren, Huazhong University of Science and Technology Press, 2001), Chapter IV appendix provides data (pp.352-353), used the ARMA model method to estimate the power spectrum, and draw different parameters case The power spectrum curve.
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Size: 1024 |
Author: 徐娟 |
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Description: ARMA model is auto-regressive Moving Average model in statistical signal processing.
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Size: 1024 |
Author: Rumi |
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Description: 随机产生一个时间序列，基于C语言的基础上建立ARMA模型，进行拟合和预测-Randomly generate a time series, based on the ARMA model is based on the C language, fitting and forecasting
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Size: 1024 |
Author: 陈颖 |
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Description: ARMA时间序列分析的C++程序，可以直接使用，对于学习时间序列分析的有帮助-ARMA time series analysis C++ program, can be used directly, for learning time series analysis
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Size: 620544 |
Author: 洪文渊 |
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