搜索资源列表
Prediction_RBF
- 混沌时间序列的RBF一步及多步预测，工具matlab，Chaotic time series RBF one-step and multi-step prediction-混沌时间序列的RBF一步及多步预测 Chaotic time series RBF one-step and multi-step prediction
PREDICET
- 利用小波神经网络的尖时间序列对短时交通流量进行预测，方法简单有效-Use the tip of the time series of wavelet neural network for short-term traffic flow forecasting method is simple and effective
10
- 时间序列数据是指按照时间先后依次排列的观测值所构成的数列，如各年度的国内生产总值、人口数据等。研究时间序列数据模型处理的主要目的是进行数据预测，如预测下一年度的销售额、预测股票价格的走势等-Time series data is the number of columns in accordance with the chronological order of priority observations posed, such as gross domestic product each ye
Time-series-P-GA-P-BP--optimization
- 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
henon
- 该m文件产生henon 时间序列，可以用来做数据预测， 附henon 映射的公式。-generate henon timeseries
ARIMA1
- 利用ARIMA方法对时间序列进行短期预测，适合初学者。-To predict the time series by using the ARIMA method, suitable for beginners.
SVM
- 基于支持向量机的对于上证指数的时间序列的预测，附有相关的论文期刊-Support vector machine for forecasting time series of Shanghai Composite Index and related papers
Time-series-model
- 时间序列模型，通过历史数据的规律性，预测未来数据的分布情况。-Time series model, by the regularity of historical data to predict the future distribution of data.
BP
- 通过分析交通流量时间序列的特点，引入BP神经网络进行短时交通流预测。首先，分析了短时交通流量预测的意义及研究背景；然后，介绍了BP神经网络的结构模型、学习规则以及BP算法的改进算法；最后，通过BP神经网络对短时交通流进行预测，并分析了在各种不同条件下的预测情况。-through the analysis of the characteristics of traffic flow time series, introduces BP neural network for short-term t
pqtest22
- arima建模，用过计算aic获得最佳的p、q值，建立arima模型对时间序列进行预测-arima forcast program
MS_Regress_FEX_1.09
- 时间序列分析，区制转移的模型定义，用法，simulation，预测-time seires MS
yuce
- 可以实现依据时间序列对数据进行预测，其中变量P代表神经网络训练数据-It can be achieved on the basis of time series data to predict where the variable P represents the neural network training data
time-series-and-neural-network
- 时间序列与神经网络结合，进行中国居民用电量的预测。- Combined time series and neural network for Chinese residents electricity consumption forecast.
matlab_shuxuejianmo
- 程序主要为matlab在数学建模中典型的应用程序，包括灰色预测，主成分分析，最短路径，三维地形图的绘制，时间序列，插值拟合等。程序实用性强，替换输入数据即可使用-Matlab program mainly in the mathematical modeling of typical applications, including gray prediction, principal component analysis, shortest path, draw three-dimensiona
ARIMA
- 使用时间序列进行短时交通预测的小程序-Using time series of short-term traffic forecasts applet
eemd
- EEMD源代码，能够预处理白噪声时间序列，对预测精度有很大提高，IMF的个数可以根据自己的要求来设置。-EEMD source code, can preprocessing white noise time series, the prediction accuracy is greatly improved, the IMF s number can be set according to their requirements.
time-series-for-prediction
- 基于时间序列对用水量的预测，建立arma模型确定阶数和参数，然后通过前几年的数据和周期性的趋势对未来的数据进行预测和检验.包含实例源数据及所有代码。-Based on time sequence for the forecast of water consumption, the establishment of arma model order and parameters, and then through the data of a few years ago and periodic t
arima-prediction
- 基于时间序列中通过arima和系统辨识工具箱在matlab上进行预测的实例。非周期性，可选择预测步数-Based on time sequence by arima and system identification toolbox in matlab to predict the instance. Aperiodic, can choose steps prediction
chapter15
- 基于SVM神经网络的信息化时间序列回归预测问题-Based on the SVM neural network informationization time series regression prediction problem
arimafinal
- 用ARMA模型对时间序列进行预测，预测效果相对于移动平均预测较好，能进行有效预测。-Using the ARMA model to forecast the time sequence, better prediction effect relative to the moving average forecast, can effectively forecast.