Description: 用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC Platform: |
Size: 220981 |
Author:杜昭翼 |
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Description: 基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力-based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast accuracy and better noise immunity Platform: |
Size: 227923 |
Author:蔡烽 |
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Description: 基于均值生成函数时间序列预测算法程序
1. predict_fun.m为主程序
2. timeseries.m和 seriesexpan.m为调用的子程序
-function based on the mean generation time series prediction algorithm for a procedure. Predict_fun.m mainly procedures 2. Timeseries.m seriesexpan.m and called for the subprogram Platform: |
Size: 1226 |
Author:helen14 |
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Description: 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. Platform: |
Size: 3860 |
Author:李洁薇 |
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Description: 混沌时间序列局域法多步预报模型.doc(有程序下载)
针对混沌时间序列预测中用加权一阶局域法单步预报模型进行多步预报时计算量大且存在误差累积效应的不足，本文提出了基于相空间重构技术的局域法多步预报模型，包括加权一阶局域法多步预报模型和RBF神经网络多步预报模型。对几种典型混沌序列的预测仿真表明，两种模型对混沌时间序列的多步预报均较有效。
-chaotic time series Local Law multi-step prediction model. Doc (with the download) against chaotic time series prediction using a weighted-Local law single-step prediction model multi-step forecast at large calculation error and the cumulative effect of the shortage, In this paper, based on the phase-space reconstruction of local law multi-step prediction model Weighted including a local law-order multi-step prediction model and RBFNN multi-step prediction model. Several typical of the chaotic sequence forecast simulation shows that the two models of chaotic time series multi-step prediction than effective. Platform: |
Size: 143669 |
Author:呆雁 |
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Description: 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct use of the procedure we will be able to realize short-term power load forecasting, the same used in other types of time series prediction Platform: |
Size: 1666 |
Author:sunyan |
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Description: matlab时间序列预测，本程序采用遗忘因子算法的方式实现-Matlab time series prediction that the adoption of the forgotten factor algorithm in a way Platform: |
Size: 23222 |
Author:xbx |
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Description: 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 Platform: |
Size: 85533 |
Author:四度 |
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Description: 分别比较了时间序列算法，BP以及GA改进的BP预测算法的结果，并组合二者，对预测结果进行了比较-Compared the time series algorithm, the results improved BP BP and GA prediction algorithm, and a combination of both, to predict the results were compared Platform: |
Size: 56320 |
Author:David |
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Description: 针对采用回声状态网络预测多元混沌时间序列时存在的病态解问题 , 本文建立了因子回声状态网络模型 , 通过因子分析 (Factor analysis, FA) 方法提取高维储备池状态矩阵的公因子 , 去除冗余和噪声成分 .-When an echo state network is used to predict multivariate time series, there may exist ill-posed problem. This pa-
per proposes a novel prediction model, named factor echo state
network, to solve the problem. It uses a factor analysis (FA) algorithm to extract the common factors of the reservoir matrix,and to remove the redundancies and noises. Platform: |
Size: 770048 |
Author:mafeng |
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Description: 使用C++语言编程建立时间序列模型，进行磨损预测-Use C++ language programming to build time series model for wear prediction Platform: |
Size: 590848 |
Author:刘彭冰 |
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Search - time series prediction