搜索资源列表
RiskCalculator
- Simple VaR Calculator provides: - Evaluation of return distribution of single asset or portfolio of assets - Volatility forecasts using moving average and exponential algorithm - Value at Risk of single asset or portfolio measurement
TwoColorBalls
- 彩票双色球预测算法代码，需要往期开奖历史数据作为参考！-Loans lottery prediction algorithm code, the need to view historical data as a reference data!
yahoostock
- yahoo股票历史数据下载器，matlab编写-yahoo stock historical data downloader, matlab write
szzs
- 支持向量机对上证指数历史数据进行学习，预测未来一段时间的大致趋势，仅供参考。-Support vector machine right on the Shanghai Composite Index historical data to learn to predict the general trend in the coming period for reference purposes only.
test
- 遗传算法 代码，是一种优化算法，主要应用于基于历史数据挖掘之后的对工序或者流程的改善-Genetic algorithm code, is an optimization algorithm, mainly used in mining based on historical data on the process or after the process improvement
Percentile
- 百分位数算法：通过输入，计算历史数据，得出最后的预警值。-Percentile algorithm: The input to calculate the historical data, resulting in a final warning value.
gldfx
- 用于数据处理时的孤立点分析，剔除孤立点，从而使历史数据更加准确-Outlier analysis for data processing, excluding the outlier, so that more accurate historical data
Multiscale-NPE-FOR-fault-detection
- 首先对一段正常工况下的历史数据进行离散小波分解,对不同尺度下的小波系数建立相应的NPE模型.经过多层小波分解,建立相应的统计量对过程进行监控-First discrete wavelet decomposition of some normal conditions of historical data, the NPE model wavelet coefficients in different scales. Multilayer wavelet decomposition, the es
Markov
- 马尔科夫链法预测股票，利用中国股市历史数据建立上证综合指数的预测模型，并进行模型验证与股指预测（股指是股票价格指数的简称）。-Markov chain method to predict the stock using historical data to establish the prediction model of the Shanghai Composite Index of China' s stock market, and model validation and stoc
The-grey-system-theory
- 灰色系统理论 根据少量的历史数据就可以较为精确的预测出未来短期内的数值-Gray system theory based on a small amount of historical data can be more accurate prediction of the future value of the short-term
hantanliang
- 在转炉炼钢过程中，通过历史数据，可以预测出含碳量终值的估计值，通过分析数据，效果相当不错。- In the steelmaking process, through historical data, you can predict the carbon content of the final value estimate by analyzing the data, the effect is quite good.
matlab
- 用风电功率历史数据来对未来一段时间功率的数值进行预测，通过Matlab软件编程和Excel处理数据，用神经网络仿真预测法、灰度预测法、时间序列预测法通过历史数据所呈现出来的一些规律对某段时间的风电功率展开预测，预测之后对得到的数据进行误差分析，通过与一些标准的对比来确定预测方法的可靠程度-Using historical data to forecast wind power to the value to the future time power, by Matlab software pr
GM11
- 单一预测方法灰色理论GM（1,1），可通过训练历史数据样本，对未来时间的样本进行预测估计。-The single forecasting method of grey theory GM (1,1), through the training of historical data sample, the time for the future of the sample estimate.
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.
rbfdlt
- 用历史数据建立RBF神经网络，并预测下期大乐透开奖结果-Historical data is used to establish a RBF neural networks to predict the next stage Lotto lottery results
BOLL_SYSTEM
- 利用输入的股票历史数据，评价策略收益、回撤等(Using input stock historical data to evaluate strategic returns)
MCM
- 划分预测对象状态 ： 根据预测的目的划分 计算初始概率 ： 根据历史数据计算状态概率 计算状态转移概率，构造转移概率矩阵P 根据转移概率进行预测，Pij 表示由状态 i 转移到状态 j 的概率 按最大可能性作为选择原则：选择（Pj1，Pj2，…， PjN ）中最大者为预测结果。 计算状态转移概率时，最后一个数据不参加计算(To predict the state of an object: divide it according to the purpose of prediction
AR
- 基于现行自回归预测模型的MATLAB代码，通过历史数据预测当前数据并实时修正当前权重参数值(Based on the MATLAB code of the current autoregressive prediction model, the current data is predicted by historical data and the current weight parameter values are corrected in real time)
TensorFlow股票预测
- 利用TensorFlow和股票历史数据，进行数据挖掘，深度学习建模，实现对股票未来走势的预测(Using TensorFlow and stock historical data, data mining and deep learning modeling are used to predict the future trend of stocks.)
D_solution
- 2018华为杯全国研究生数模竞赛D题，获得全国二等奖，题目关于潮汐求解，200万行历史数据处理。(The 2018 Huawei Cup National Postgraduate Mathematics and Analog Competition won the second prize in China. The title is about tide solution and 2 million lines of historical data processing.)