搜索资源列表
自适应算法
- ｍａｔｌａｂ程序，用于计算时间序列中的自适应问题可以进行预测-Matlab procedures used in the calculation of time-series of adaptive problems can be predicted
基于神经网络集成的高木－关野模糊系统算法
- 读者可以下载得到基于神经网络的关于预测方法的完全代码 利用c++或者vc均可实现-readers can be downloaded Neural Network Based on the prediction method using the complete code c can be achieved or vc
predict_fun
- 基于均值生成函数时间序列预测算法程序 1. predict_fun.m为主程序 2. timeseries.m和 seriesexpan.m为调用的子程序 -function based on the mean generation time series prediction algorithm for a procedure. Predict_fun.m mainly procedures 2. Timeseries.m seriesexpan.m and called for
Volterra_hwg
- 在MATLAB上实现混沌时间序列的Volterra预测算法-in MATLAB achieve chaotic time series prediction algorithm Volterra
LRP
- 本程序用c++语言实现了wcdma系统当中的信道预测算法，并给出了该算法的吞吐量以及误码率的性能 -the procedures used by c language wcdma systems channel prediction algorithm. and the algorithm is the throughput and error rate performance
LFM1_mp_wv_1_20
- 这是一个关于Wigner-Ville分布的线性预测算法的程序,大家看看可以作为参考资料研究一下了.-This is one of the Wigner-Ville distribution of the linear prediction algorithm procedures, We can look at the study as a reference.
guangyiyucesuanfa
- 广义预测算法MATLAB转化为VC++的程序,可用于三容水箱的数据的采集.-generalized predictive algorithm MATLAB into VC procedures can be used for three-tank of data acquisition.
PSOSVM网络流量预测
- 这是关于粒子群算法优化支持向量机的网络流量预测，全套的代码可以正确使用A博士提供(This is about particle swarm optimization support vector machine network traffic prediction, the complete code can be used correctly provided by Dr. A.)
time-series-forecasting-keras-master
- 基于ARIMA模型和LSTM模型，提出一种高性能得时间序列预测算法(Based on ARIMA model and LSTM model, a high performance time series prediction algorithm is proposed.)
29 基于贝叶斯Bayes的数据预测
- 贝叶斯算法应用于数据预测，可以应用于很多领域，如风速预测等。(Bayesian algorithm is applied to data prediction, and can be applied to many fields, such as wind speed prediction.)
SVM算法
- SVM的分类与预测。带数据的。可直接使用学习。方便入门。(Classification and prediction of SVM. With data. You can use learning directly.it's convence for us to learn it .)
LSSVM
- 结合风场实时数据以及风场气象数据，分析了实时数据并制定了数据清洗规则；针对风电功率预测领域预测精度低的问题，采用lssvm算法进行预测。(Combined with real-time wind field data and wind field meteorological data, the real-time data was analyzed and data cleaning rules were formulated. For the problem of low predictio
IWLS
- 对最小二乘的参数进行重新加权，实现迁移学习并预测(Least-square importance weighted, transfer learning and prediction)
BP神经网络负荷预测
- 基于神经网络对微电网进行负荷预测，并通过遗传算法进行改进(Based on neural network Load Forecasting)
iris
- 使用鸢尾花数据集，通过神经网络算法对鸢尾花类型进行预测(Using iris data set, the iris type was predicted by neural network algorithm.)
隐马尔可夫预测代码（含有大量案例）
- 该算法用于matlab，主要用于马尔可夫算法(THIS IS For markov algorithms)
SSA（樽海鞘群算法）
- 使用樽海鞘算法结合极限学习机，应用风电场数据，根据风速温度等条件对风功率进行预测，效果不错(The thalassella algorithm combined with extreme learning machine is used to predict wind power according to wind speed, temperature and other conditions with wind farm data)
BP负荷预测
- 利用神经网络算法进行负荷的预测，选取若干天的预测数据，来预测接下来几天的负荷数据(The neural network algorithm is used to forecast the load. The forecasting data of several days are selected to forecast the load data of the next few days)
Python机器学习_预测分析核心算法
- Python机器学习_预测分析核心算法(Python machine learning_ Prediction analysis core algorithm)
基于BP神经网络的股票数据预测模型
- 采用了BP神经网络的算法能较好的预测股票收盘价的趋势(BP neural network algorithm is used to predict the trend of stock closing price)