搜索资源列表
Changjiang
- matlab在数学建模中的应用一书中实现灰色预测章节的源代码(matlab in mathematical modeling in a book to achieve gray forecast chapter of the source code)
chapter32
- 短时交通流量预测,基于小波神经网络的时间序列预测(Short-term traffic flow prediction based on time series prediction of wavelet neural networkc flow forecasting)
基于MATLAB的股票指数预测算法仿真
- 这个是基于MATLAB的股票指数预测算法仿真，里边含有实例和coding(This is a MATLAB based simulation of the stock index prediction algorithm, which contains an instance and a coding)
经济预测方法及matlab实现教学配套课件
- 干预模型预测法及matlab实现教学配套课件，里边含有模型的讲解和案例(Intervention model prediction method and MATLAB teaching courseware, including the explanation and case of model)
mpca
- 模型预测控制(MPC)是一类特殊的控制。它的当前控制动作是在每一个采样瞬间通过求解一个有限时域开环最优控制问题而获得。过程的当前状态作为最优控制问题的初始状态，解得的最优控制序列只实施第一个控制作用。这是它与那些使用预先计算控制律的算法的最大不同。本质上模型预测控制求解一个开环最优控制问题。它的思想与具体的模型无关，但是实现则与模型有关。(Model predictive control)
clear all
- 进行多变量灰色预测模型的计算，用以解决一些数学建模和实际问题。(The calculation of the multivariable grey forecasting model is carried out to solve some mathematical modeling and practical problems.)
BP caipiao
- BP神经网络彩票预测脚本 参照了涂晖对于 mablab神经网络提到的几个函数。(The BP neural network lottery prediction scr ipt refers to several functions mentioned in the mablab neural network.)
MIDAS_example
- 使用混频抽样模型对宏观经济数据进行实时预测(forecast the macroeconomic data by using MIDAS model)
caffe-201701
- 在linux平台上运用caffe使用神经网络算法对图像进行分类，预测。在计算机视觉中（机器人视觉中）占主导作用。(On the Linux platform, Caffe is used to classify and predict the image using neural network algorithm. It plays a dominant role in computer vision (robot vision).)
bulk-download1-10
- IEEE Xplore Search Results检索的有关模型预测控制的文章(IEEE Xplore Search Resultsretrieval model predictive control article)
elmen网络代码
- ELMAN神经网络模型预测精度高于BP神经网络，可以用于非线性时间序列的预测。(The prediction accuracy of ELMAN neural network model is higher than that of BP neural network, and it can be used to predict nonlinear time series.)
GM(1，1)
- MATLAB代码，能够预测灰色GM模型，只需改变里面的数据和掺量(MATLAB code that can predict the grey GM model and just change the inside data and mix)
r
- 多元数据的数值基础分析（五数、方差等）、基础出图（线性拟合、残差图、找变异点）预测，外加基础实际数据处理案例两个(Multivariate data analysis and prediction model)
小水电
- 小水电负荷预测方面的论文，关于小水电富集区域的小水电机组的处理预测(Paper on small hydropower load forecasting,Treatment Prediction of Small Hydropower Units in Small Hydropower Rich Areas)
指数型加权零阶局与预测法
- 加权零阶局域预测法对时间序列数据进行短期预测(Calculating the Poincare cross section of time series)
lottery prediction
- 双色球，预测号码和分析当前趋势，系统源码 。(Double color ball, forecast number and analysis current trend, system source code.)
神经网络代码
- 关于径流月值的BP神经网络预测，经过证明可以得到想要的结果，分享给大家，一起交流学习。(The BP neural network forecast for monthly runoff has proved that the desired results can be obtained, sharing and exchanging learning.)
Shanghai-Au-Futures-master
- 上海房价预测，实现为 python + keras + tensorflow，包含数据文件(Shanghai house price prediction is implemented as Python + keras + tensorflow, including data files)
lstm
- 使用lstm神经网络预测时间序列，同时对参数选择进行优化(Time series prediction using LSTM neural network, the selection of the parameters are optimized)
第4章
- 用CARSIM搭建车辆模型，采用模型预测控制器实现轨迹跟踪控制，仿真了无人车对圆形轨迹的跟踪(Using CARSIM to build the vehicle model, using the model predictive controller to realize trajectory tracking control, and simulating the tracking of the circular trajectory by the unmanned vehicle)