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glhundungrnn
- 用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-with Chaos Theory and the general regression neural network for short-term load forecasts, achieved satisfactory results
Chaos_Prediction
- 混沌时间序列分析与预测源代码。具有产生混沌时间序列,求时延,求嵌入维,求关联维,求K熵,求Lyapunov指数谱,求二进制图形的盒子维和广义维,求时间序列的盒子维和广义维,混沌时间序列预测等项功能。
prediction-GRNN
- GRNN的数据预测-基于广义回归神经网络货运量预测-The data prediction GRNN- Generalized regression neural network based on volume forecast
8
- GRNN的数据预测—基于广义回归神经网络的货运量预测
GChAdapt
- 基于多步预测的自适应控制器设计,主要针对广义多步预测的情况-Based on the multi-step prediction of the adaptive controller design, the main multi-step prediction for generalized situation
GRNNhuoyun
- 基于广义回归神经网络的货运量预测的源代码,可以直接编译运行。并且里面有详细的代码注释。-Generalized regression neural network based on the PCF s source code, you can direct the compiler to run. And there are detailed notes of the code.
RBF
- 本程序 是基于对货流量的预测 程序完整 采用GRNN广义神经网络-This procedure is based on a complete freight traffic forecasting process using generalized neural network GRNN
61IC_H4231
- PAV (H265) 是 音视频 压缩解压 协议,非常不同于H264/MPEG4,ZPAV (H265) 的基本算法 是 小波,多级树集合群,广义小波,数学形态小波,...... ZPAV (H265) 基本算法 : 1,图象与声音分解与合成 :小波 ; 2,图象与声音前处理 :小波子带零交叉降噪,目标纹理处理,语音处理 ; 3,速率控制 :小波子带熵速率控制 ; 4,量化与反量化 :小波子带熵量化与反量化 ; 5,低频分量和高频分量的降维 :小波子带邻域交
grnn
- 一个用于集装箱预测的广义自回归神经网络,效果挺好,也可以用于其他领域的非线性预测-It is a GRNN algorithm used to forecast container throughput with satisfactory performance, which can also be apllied in the other forecast areas.
GMVC_PPC
- 间接广义最小方差控制实例,可用于参数未知的情况进行预测控制-indirect Gmvc
mpc
- 给出了不确定广义系统的鲁棒预测控制仿真程序-Given the uncertainty of the generalized system robust predictive control simulation program
mohuyuce
- 广义模糊预测算法控制代码,可用于工业自动控制的学习和开发-The generalized fuzzy predictive algorithm control code can be used for learning and development of industrial automation control
The-data-forecasting-based-on-GRNN
- 通过matlab编程,建立了基于广义神经网络的数据预测,并通过交叉验证进行网络的训练,取得了不错的预测效果-By matlab programming,we established the data forecasting based on generalized regression neural network, and we use corss-validation to train the network,which obtains better forecasting effect.
GRNN
- GRNN的数据预测:基于广义回归神经网络货运量预测-The GRNN data Forecast: Cargo Forecasts based on generalized regression neural network
GRNN
- 该文件是GRNN的数据预测的源代码,可用于基于广义回归神经网络的货运量预测-The file is a the GRNN data predicted source code that can be used for cargo forecast based on generalized regression neural network
广义线性模型
- 这种模型是把自变量的线性预测函数当作因变量的估计值(The model takes the linear prediction function of the independent variable as the estimate of dependent variable)
grnn网络
- GRNN 的做据预测-一基于广义回 归柿经网络的货运量预测 , GRNN 具有很强的非线性映射能力和柔性网络结构以及高度的容错性和鲁棒性,适用 于解决非线性问题。(GRNN prediction based on generalized regression persimmon network traffic volume prediction, GRNN has a strong nonlinear mapping ability and flexible network structure,
采用广义回归神经网络GRNN进行货运量预测
- 针对货运量预测问题,建立广义神经网络,对货运量进行预测。同时建立了BP神经网络,通过预测误差进行比较(Aiming at the problem of freight volume prediction, a generalized neural network is established to predict freight volume. At the same time, a BP neural network is established to compare the predicti
VAR方差分解
- 使用脉冲响应函数以及方差分解的方法组合实现广义预测误差方差分解的方法,构建风险溢出矩阵,从而更好的衡量各个个体间的影响(finance R language)