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P1-s2.0-S0957417410001107-main
- Business cycle predictions face various sources of uncertainty and imprecision. The uncertainty is usually linguistically determined by the beliefs of decision makers. Thus, the fuzzy set theory is ideally suited to depict vague and uncertain feature
hiuleng_v19
- 滤波求和方式实现宽带波束形成，时间序列数据分析中的梅林变换工具，用于建立主成分分析模型。- Filtering summation way broadband beamforming, Time series data analysis Mellin transform tool, Principal component analysis model for establishing.
trunk
- 为树轮研究开发的数据分析matlab工具箱-Tree-ring and climate-data analysis grplot grouped plots of ring width series skelcrn - skeleton plot crn file or ring-width series climgram - climatogram IO and formatting of tree-ring data crn2vec2 convert .crn fil
loufou_V3.4
- 是国外的成品模型，时间序列数据分析中的梅林变换工具，STM32制作的MP3的全部资料。- Foreign model is finished, Time series data analysis Mellin transform tool, STM32 all the information produced by the MP3.
kenqie
- 到达过程是的泊松过程，是国外的成品模型，时间序列数据分析中的梅林变换工具。- Arrival process is a Poisson process, Foreign model is finished, Time series data analysis Mellin transform tool.
ARFIMA_SIM
- The code performs the simulation of time series with autoregressive fractionally integrated moving average (ARFIMA) models that generalize ARIMA (autoregressive integrated moving average) and ARMA autoregressive moving average models. ARFIMA models a
laisui_v40
- 采用加权网络中节点强度和权重都是幂率分布的模型，分析了该信号的时域、频域、倒谱，循环谱等,时间序列数据分析中的梅林变换工具。- Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Time serie
RCode_LinearTSModels_illus
- 基于R语言的ARIMA模型构建和测试，用于初学者学习时间序列分析。-ARIMA model based on R programming language for time series analysis
short-term-electrical-load
- 电力负荷预测，多变量时间序列线性回归预测方法-the research of local linear model of short-term electrical load on multivariate time series
Water-Supply-System-
- 本文分别采用基于时间序列分析的方法和人工神经网络方法建立了天级需水量预报模型-Based on time series analysis method and artificial neural network method, the model of water demand forecasting is established in this paper.
DGM(1-1)
- 离散灰色模型的计算程序，针对小样本时间序列的预测建模。本程序输出时间响应式拟合值、拟合效果图、和各种拟合精度指标值。-Discrete gray model calculation program for small sample time series prediction modeling. The program output response time value style fitting, fitting renderings, and all kinds of fitting pr
r-languge
- 本书通过案例讲述时间序列分析有关的概念和方法, 不仅介绍了ARMA模型、状态空间模型、Kalman滤波、单位根检验和GRACH模型等一元时间序列方法, 还介绍了很多最新的多元时间序列方法, 如线性协整、门限协整、VAR模型、Granger因果检验、神经网络模型、可加AR模型和谱估计等. 书中强调对真实的时间序列数据进行分析, 全程使用R软件分析了各个科学领域的实际数据, 还分析了金融和经济数据的例子. 本书例题用到的实际数据都可以从网上下载.-Book time series analysis
qougie
- 时间序列数据分析中的梅林变换工具，数据模型归一化，模态振动，包括广义互相关函数GCC时延估计。- Time series data analysis Mellin transform tool, Normalized data model, modal vibration, Including the generalized cross-correlation function GCC time delay estimation.
qingbiu_v75
- 时间序列数据分析中的梅林变换工具，这是一个好用的频偏估计算法的matlab仿真程序,数据模型归一化，模态振动。- Time series data analysis Mellin transform tool, This is a useful frequency estimation algorithm matlab simulation program, Normalized data model, modal vibration.
GreyPrediction
- 自己编写的灰色预测模型，绝对可以运行，实现了对一组时间序列的预测，预测精度较精确。我用它来预测目标跟踪过程中对目标下一时刻的位置，效果很好！-Grey Forecasting Model I have written can definitely run to achieve a prediction of a time series, the more accurate the prediction accuracy. I use it to predict the target track
jingbao
- 包含收发两个客户端程序，利用贝叶斯原理估计混合logit模型的参数，时间序列数据分析中的梅林变换工具。- Transceiver contains two client programs, Bayesian parameter estimation principle mixed logit model, Time series data analysis Mellin transform tool.
foupouhei_V1.1
- 最小均方误差（MMSE）的算法，双向PCS控制仿真，基于matlab GUI界面设计,包含CV、CA、Single、当前、恒转弯速率、转弯模型，单径或多径瑞利衰落信道仿真，多姿态，多角度，有不同光照,分析了该信号的时域、频域、倒谱，循环谱等,时间序列数据分析中的梅林变换工具。 - Minimum mean square error (MMSE) algorithm, Two-way PCS control simulation, Based on matlab GUI interface d
lingfao_v44
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，时间序列数据分析中的梅林变换工具，使用起来非常方便。- It contains CV, CA, Single, current, constant turn rate, turning model, Time series data analysis Mellin transform tool, Very convenient to use.
zzz
- 时间序列线性二次移动平均法预测法，用于掌握一次、二次、三次指数模型的求解方法-Time series linear quadratic moving average forecasting method, used to master once, twice, three times the method of calculating the index model
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr