搜索资源列表
RBF
- 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.
time
- 数模用的时间序列模型，要用matlab编程-Model with time-series model, using matlab programming
ARMASA_1_9
- Features a unique program to estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using statistical
3
- 典型时间序列模型分析 设有ARMA(2,2)模型， X（n）+0.3X(n-1)-0.2X(n-2)=W(n)+0.5W（n-1）-0.2W(n-2) W(n)是零均值正态白噪声，方差为4 （1）用MATLAB模型产生X（n）的500观测点的样本函数，并会出波形； （2）用你产生的500个观测点估计X（n）的均值和方差； （3）画出理论的功率谱 （4）估计X（n）的相关函数和功率谱 -Analysis of typical time series model w
prediciton
- 多维时间序列分析_电力负荷预测 详细说明了自己的model和算法-Multi-dimensional time series analysis _ Power Load Forecasting
time-series
- 用MATLAB完整的时间序列预测模型，适合多种方法-With a complete MATLAB time series forecasting model, suitable for a variety of methods
finance
- 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 feat
Regarch
- 本文引入随机环境干扰,将非线性时间序列GARCH模型推广为REGARCH模型,并讨论REGARCH模型的几何遍历性及伴随几何遍历性-By introducing random environmental disturbance, the nonlinear time series model to the REGARCH GARCH model, and discuss REGARCH model with the geometric ergodicity and geometric ergod
time-serial-model
- 此为时间序列预测模型的详细说明，并附有详细的程序，可直接下载下来用！-This time series forecasting model for the detailed instructions, along with detailed procedures can be directly downloaded to use!
ARMA-model-order-determination
- 一篇介绍ARMA时间序列模型定阶方法的文章，供大家参考。-a paper about order determination method for ARMA time series model .
time-series-analysis-model
- 动态时间序列周期分析预测模型将多层递阶方法与逐步回归周期分析的基本原理相结合，可以对时间序列做较长周期的预测-Dynamic time series cycle analysis of the predictive model using multi-layer hierarchical approach
time-series-exponential-smoothing
- 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
matlab-time-series-model
- matlab 时间序列模型 涵盖面很广泛 基本的时间序列模型都有说明-matlab time series models cover a wide range of basic time series models have been described
time-series-model.rar
- matlab算法大全之时间序列模型，非常棒的资料,the matlab algorithm Daquan time series model, great information
time-series
- 时间序列预测模型，适合各种数据预测分析，对于数模爱好者十分好用-Time series prediction model for a variety of data to predict, very easy to use for digital-to-analog lovers
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.
time-series-to-build-wear-model
- 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
time series model
- 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法。它一般采用曲线拟合和参数估计方法（如非线性最小二乘法）进行。时间序列分析常用在国民经济宏观控制、区域综合发展规划、企业经营管理、市场潜量预测、气象预报、水文预报、地震前兆预报、农作物病虫灾害预报、环境污染控制、生态平衡、天文学和海洋学等方面。(Time series analysis is the theory and method of establishing mathematical model
AR
- 时间序列模型建立 损伤识别(Damage identification by time series model)
23_time_series_prediction
- 用 Python 机器学习，时间序列模型预测， 循环神经网络(Python Machine Learning, Time Series Model Prediction, recurrent Neural Network)