搜索资源列表
gpfreeunivariate
- genetic programing for free cash forecasting in univariate setting
gpcfounivariate
- genetic programing for cash from operation forecasting in univariate setting
RBFNeuralNetwork
- RBF神经网络优化的粒子群优化的预测文献,可以-RBF Neural Network Optimized by Particle Swarm Optimization for 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
CCA
- 对两个时间场进行相关计算,计算出典型相关的区域-THIS IS A GROGRAM FOR CANONCAL CORRELATION ANALYSIS AND FORECASTING BY USING HOTELLING CRITERION
imageprocessing
- 此程序用提升法实现第二代小波变换 我用的是非整数阶小波变换 采用时域实现,步骤先列后行 正变换：分裂，预测，更新； 反变换：更新，预测，合并 只做一层（可以多层，而且每层的预测和更新方程不同） -This program uses lifting to achieve the second generation wavelet transform me to a non integral order wavelet transform time-domain realization of
215
- 神经网络对于一个省份GDP的预测研究 有需要的可以看看 -Neural network for forecasting GDP, a province need to look at
jiemian
- 神经网络的BP界面,可以用此软件进行电力系统的短期负荷预测-BP neural network interface, you can use this software to power system short term load forecasting
erjiesishiying
- 带文件输入的二阶自适应负荷预测程序，采用C语言编写 参数说明： N——要输入的数据的个数； B—— 的值； x[N+1]——定义一个浮点型数组，用于盛放输入的数据； y[N+1]——定义一个浮点型数组，用于盛放预测值； M[N+1]——定义一个浮点型数组，用于盛放 （ ）的数据； e[N+1]——定义一个浮点型数组，用于盛放 （ ）的数据； E[N+1]——定义一个浮点型数组，用于盛放 （ ）的数据； c[N+1]——定义一个浮点型数组，用于盛放e[N+1]的
multiregress
- 多元线性回归负荷预测程序，采用C++编制-Multiple linear regression load forecasting process, using C++,
regress
- 一元线性回归负荷预测程序，采用C++编写-Linear regression load forecasting procedure for the preparation of C++
damai4
- 本包内为 WORD 文档，内涵四个程序代码，分别是利用BP网络和指数平滑法，对数据进行预测用的-WORD documents within the package, meaning the four program code, respectively, the use of BP networks and exponential smoothing, forecasting the data
Lyapunov_jisuan
- 这是一个Lyapunov指数计算方法文件，里面有基本的混沌识别方法和混沌预测方法，很有用。-This is a calculation of Lyapunov index files, which are the basic identification method and chaos chaotic forecasting method, very useful.
GM110
- GM(1,1)灰色预测函数，自动返回预测值，并包括残差，关联度，后验差检验。-GM (1,1) Grey forecasting function, automatic return predictive value, and includes the residuals, correlation, after test.
chengxu
- gm(1,1)灰色预测模型，可以进行各种预测。短期的电力负荷预测尤其的好。也可以进行中长期的预测，但是效果没有短期的好。-gm (1,1) Grey forecasting model can predict all kinds. Short-term load forecasting particularly well. Can also make long-term forecast, but they were not short of good.
ahk
- 用此程序可以实现小波变换，用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要-This process can be achieved with wavelet transform, chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input
lbg
- 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性-With the new mathematical tools of wavelet analysis into practical load forecasting model based on the performance of NN provides a theoretical basis
lu
- 在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based o
nu
- 一个多输入多输出小波网络的源程序，用matlab编写，能够实现对时间序列数据的训练预测-A multi-input multi-output wavelet network' s source code, written with matlab, can be achieved on the training time series data forecasting
GM11
- gm(1,1)灰色预测模型，可以进行各种预测。短期的电力负荷预测尤其的好。也可以进行中长期的预测，但是效果没有短期的好-gm (1,1) Grey forecasting model can predict all kinds. Short-term load forecasting particularly well. Can also make long-term forecasts, but they were not a good short-term