Description: 基于奇异值分解的混沌时间序列Volterra预测-Based on Singular Value Decomposition of chaotic time series prediction Volterra Platform: |
Size: 55296 |
Author:研间会 |
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Description: 混沌时间序列预测程序,包括多步预测函数及多步预报的主程序。-Chaotic time series prediction procedures, including multi-step prediction function and multi-step prediction of the main program. Platform: |
Size: 5120 |
Author:ltt |
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Description: 本程序是基于matlab的时间序列预测模型GP源程序-This procedure is based on the matlab time series prediction model GP source code Platform: |
Size: 6144 |
Author:不吃萝卜的萝卜 |
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Description: 利用RBF进行时间序列的预测，可用于故障诊断中的参数估计和预测-Use of RBF for time series prediction can be used for fault diagnosis of parameters estimates and projections Platform: |
Size: 19456 |
Author:吴娟 |
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Description: 混沌工具箱
C-C方法计算时间延迟和嵌入维数
混沌时间序列预测-Chaos Toolbox CC method to calculate time delay and embedding dimension of chaotic time series prediction Platform: |
Size: 14336 |
Author:潘水洋 |
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Description: 灰色预测模型的matlab程序，用于对时间序列做预测。-Gray prediction model matlab procedure done for time series prediction. Platform: |
Size: 4096 |
Author:王磊 |
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Description: 基于混沌时间序列的利亚普诺夫指数预测是当今的重要方向，现将自编最新的利亚普诺夫指数预测的分享。-Based on the Liapunov index of chaotic time series prediction is an important direction today, now composing the latest Liapunov index forecast sharing. Platform: |
Size: 2048 |
Author: |
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Description: 基于最大李亚普诺夫指数的改进混沌时间序列预测的方法-Based on the maximum Lyapunov exponent of the improved chaotic time series prediction methods Platform: |
Size: 297984 |
Author:Le |
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Description: 时间序列工具箱可以解决很多时间序列预测问题，大家可以试一试的。用过的，真的很好。-Time series toolbox can solve a lot of time series prediction problem, we can try to. Used, really good. Platform: |
Size: 8122368 |
Author:liush |
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Description: 混沌时间序列预测法的实现仿真，时间延迟，关联维，最大Lyapauon指数-Chaotic time series prediction method to achieve simulation, time delay, correlation dimension, largest Lyapauon index Platform: |
Size: 2048 |
Author:曾盛 |
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Description: 时间序列进行平稳性检验然后利用aic准则选取合适的模型进行一步预报。-Stationary time series of test criteria and then select the appropriate use of aic step model prediction. Platform: |
Size: 3072 |
Author:刘洋 |
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Description: 这是一个小波包，可以用来分析时间序列。里面包括降噪程序和时间序列预测程序。-This is a packet, can be used to analyze the time series. Procedures which include noise reduction and time series prediction procedures. Platform: |
Size: 9216 |
Author:liush |
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Description: 混沌时间序列预测程序与文档
包括CC方法、GP方法、Lyapunov指数预测等-Chaotic time series prediction method procedures and documentation, including CC, GP method, Lyapunov index prediction Platform: |
Size: 685056 |
Author: |
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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: 4096 |
Author:牛逼 |
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Description: 平稳时间序列预测法
时间序列 取自某一个随机过程，如果此随机过程的随机特征不随时间变化，则我们称过程是平稳的；假如该随机过程的随机特征随时间变化，则称过程是非平稳的。
-Stationary time series prediction
Time series from a single random process, if the random process of random feature does not change over time, then we say that the process is smooth if the random characteristics of the random process over time, claimed that the process is non stationary. Platform: |
Size: 48128 |
Author:周雪刚 |
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Description: Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time series prediction, function approximation, clustering, etc.
In this article, I ll try to review some approaches for optical character recognition using artificial neural networks. The attached project is aimed as a research project, so don t try to find here a ready solution for scanned document processing.
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Size: 367616 |
Author:reyjav |
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Description: 对混沌时间学列但不预测及多步预测的输入信号信号归一化处理-Studies of chaotic time series prediction and multi-step, but not predictable input signal signal normalized Platform: |
Size: 5120 |
Author:王孔峰 |
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Search - time series prediction