Description: matlab格式源代码。功能：径向基神经网络算法源码和应用于时间序列模型建立和预测问题。-matlab source code format. Function: RBF neural network algorithm source code and applies to time-series model and prediction of the problem. Platform: |
Size: 5120 |
Author:magic |
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Description: 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 Platform: |
Size: 2834432 |
Author:周寒 |
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Description: 用LMS算法预报时间序列，对比真实值和预报值-LMS algorithm with time-series prediction, compared to the true value and forecast value Platform: |
Size: 5120 |
Author:王磊 |
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Description: ar模型的一个例子，详细描述了时间序列预测的步骤，且成功实现预测功能-ar model of an example of a detailed description of the steps time series prediction and forecasting function successfully Platform: |
Size: 9216 |
Author:yening |
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Description: 基于MATLAB的ARIMA模型的源代码。ARIMA模型是自回归滑动平均求和模型，是时间序列分析模型，可以用于时间序列的预测。该代码实现了ARIMA模型的建模和谱分析过程-The ARIMA model based on MATLAB source code. ARIMA model is the sum of autoregressive moving average model is time series analysis models, can be used for time series prediction. The code to achieve the ARIMA models and spectral analysis of the modeling process Platform: |
Size: 2048 |
Author:王二 |
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Description: 针对金融时间序列分析中注重快速作出趋势判断的特点,利用数据挖掘的思想和工具,提出
一种金融时间序列模式快速发现算法. 与传统的预测算法相比较,该算法对数据的分布和平稳性等
方面的要求不高,不基于任何假设,能够非常快速地发现时间序列中的频繁模式,经过模式匹配后,
可以用于金融时间序列的分析与预测. 以实际汇率数据为例,证明了该算法的有效性-Financial time series analysis for rapid prediction of trend-oriented features, use of data mining ideas and tools of financial time series model is proposed Fast algorithm for discovering. With the traditional prediction method compared to the algorithm of data distribution and stability etc. do not ask, do not based on any assumptions, can very quickly find that the frequent time series patterns, by matching patterns can be used for financial time series analysis and prediction. to exchange rate data, show that the algorithm Platform: |
Size: 168960 |
Author:zhangjunhai |
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Description: Multi-step-prediction of chaotic time series based
on co-evolutionary recurrent neural network
协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic
time series, it estimates the proper parameters of phase space reconstruction and optimizes the structure of recurrent
neural networks by co-evolutionary strategy. The searching space was separated into two subspaces and the individuals
are trained in a parallel computational procedure. It can dynamically combine the embedding method with the capability
of recurrent neural network to incorporate past experience due to internal recurrence. The eff ectiveness of CERNN is
evaluated by using three benchmark chaotic time series data sets: the Lorenz series, Mackey–Glass series and real-world
sun spot series. The simulation results show that CERNN improves the performances of multi-step-prediction of chaotic
time series. Platform: |
Size: 152576 |
Author: |
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Description: 使用时间序列进行预测和建模的方法及其在预测公安部数据库中犯罪事件趋
势上的应用
-Time series prediction and modeling method and its application on crime trends in the forecast in the Ministry of Public Security database Platform: |
Size: 4998144 |
Author:毛玉凤 |
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Description: 时间序列预测分析法在建立非线性模型进行经济预测方面受
到广泛的重视和研究。而作为其重要分支之一的指数平滑法，因为操作简
单、适用性强、性能优良、应用广泛而成为经典的预测与控制模型
-The analysis of time series forecasting economic forecasts in a nonlinear model received wide attention and research. And as one of the important branch of the exponential smoothing, simple operation, applicability and excellent performance, wide range of applications to become a classic prediction and control models Platform: |
Size: 3500032 |
Author:毛玉凤 |
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Description: 现代信号处理中时间序列分析，相关重要算法，包括逆函数预测算法，矩估计，极大似然估计，
格林函数预测算法，差分方程预测方法-Modern signal processing, time series analysis, the related important algorithms, including inverse function prediction algorithms moment estimation, maximum likelihood estimation, prediction method of Green' s function prediction algorithms, differential equations Platform: |
Size: 3939328 |
Author:王平仁 |
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Description: 提出了一种多步预测机制的经验评价机制，可很好的应用于时间序列预测机制的评价-Experience in a multi-step prediction mechanism evaluation mechanism, can be applied to the evaluation of the time series prediction mechanism. Platform: |
Size: 686080 |
Author:wentao |
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Description: 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 Platform: |
Size: 53248 |
Author:carolsenior |
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Description: 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 facilitate the use of the reader Platform: |
Size: 118784 |
Author:梁毅灵 |
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Description: 用小波神经网络做时间序列的预测，根据前12天温度的变化预测后四天的温度-Wavelet neural network to do time series prediction, based on the temperature before and after 12 days of a four-day temperature change projections Platform: |
Size: 87040 |
Author:wangyouquan |
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Description: 用于时间序列的预测，包含序列特征描述、平稳性检验、序列周期判断、季节因子提取、指数平滑预测、及ARIMA预测-Sequence features for time series prediction, including the description of the stationary test, to determine the sequence cycle, seasonal factor extraction, exponential smoothing, and ARIMA forecasting Platform: |
Size: 7168 |
Author:creasson |
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Description: 吕金虎《 混沌时间序列分析及其应用》，对混沌和预测相关的有很大帮助-Lu Jinhu "chaotic time series analysis and its applications," chaos and prediction of great help related Platform: |
Size: 4165632 |
Author:张泽宇 |
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Search - time series prediction