搜索资源列表
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基于Cholesky分解的混沌时间序列Volterra预测-based on the Cholesky decomposition Volterra chaotic time series prediction
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基于云模型的短期电价预测。一种基于云模型的时间序列预测的新型算法。-Based on cloud model of short-term price forecasting. A cloud-based model of the new algorithm for time series prediction.
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基于关联规则的股票时间序列趋势预测研究
硕士毕业论文-Based on Association Rules Stock Market Time Series Prediction Research Master Thesis
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GM（1，1）模型程序
可用于一般时间序列预测-GM (1,1) model program can be used for general time series prediction
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多变量混沌时间序列预测及其在股票市场中的应用 硕士论文-Multivariate Chaotic Time Series Prediction and Its Application in the stock market in the master' s thesis
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对混沌时间序列相空间重构中最佳延迟时间间隔和嵌入维数的选取方法作
了综述,提出了同时考虑这2 个参数选取的重构展开虚假邻点法以及预测误差最小-Of chaotic time series phase space reconstruction of the best delay time interval and the embedding dimension of the selection methods were reviewed and put forward these two pa
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利用AR模型进行时间序列预测的程序源代码，使用最小二乘估计法进行参数估计。拟合效果非常好。-use AR model for time series prediction of the source code, the use of least squares estimation method to estimate parameters. Fitting very good results.
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Time Series prediction with Feed-Forward Neural Networks
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该文档是最小二乘法进行时间序列预测使用的总结，针对不同的模型，而且还有相应的matlab实现代码。-This document is the least square method for time series prediction using summary, in view of the different model, and the corresponding matlab code.
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本文介绍了支持向量机进行电力负荷时间序列的预测-This article describes a support vector machine to power load time series prediction
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该文章从混沌和分形的关系出发，基于奇异吸引子的分形结构和时间序列的自仿射特性，提出了一种混沌时间序列的预测方法。采用迭代函数系统跟踪混沌的局部运动轨迹，由此确定统计意义上放射性能最优的时间序列段，并分局吸引子定力和拼贴定理建立预测模型。-This article from the chaos and fractal relationship starting, based on the characteristics of self-affine fractal structure and ti
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时间序列应用实例:时间序列分解，一次直线回归于预测检验-Application examples of the time series: time series decomposition, a linear regression prediction test
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该文介绍了时间序列经典方法，ARMA,ARIMA,AR模型用于解决各种平稳预测问题，并且附上了相应的程序，方便读者运用-This paper introduces the classical time series methods, ARMA, ARIMA, AR model is used to solve a variety of stationary prediction problem, and attach the appropriate procedures to facilitat
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用时间序列分析中的自适应滤波预测法,建立某市用电量的预测模型
-Using time series analysis of adaptive filtering prediction method, a city electricity consumption forecasting model
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用时间序列和小波分析相互结合的基于小波的时间序列预测方法，该方法比较可靠，欢迎大家下载。-Wavelet analysis of time series and combined with each other in the time series prediction method based on wavelet, this method is more reliable, welcome to download.
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质量非常好的一篇博士论文。冲击破坏过程十分复杂，很难建立精确的数学模型，但目前具有冲击危险性的矿井都采取了多种监测措施，可以获得大量冲击地压监测数据。本论文以获取的冲击地压监测历史时间序列数据为基础，在相空间重构出的动力学空间中分析其混沌特性，基于混沌预测理论，采用智能算法对多个冲击地压监测变量进行预测研究，并采用集成分类方法对冲击危险性进行识别预测研究。-Quality is very good a doctoral dissertation. The impact of the destru
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to implement the grey forecasting model for time series prediction
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EMD神经网络的时间序列预测，内容翔实，方法还可以。-EMD neural network time series prediction, informative, the method can be.
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一篇经典的学术论文，基于小波神经网络的时间序列预测，适合初学者学习-The Application of Wavelet Neural Network in Time Series Prediction and
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it is long term forecasting based on time series.
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