搜索资源列表
ARIMAyuce000
- 基于ARIMA时间序列模型对风速进行拟合，预测短时间的风速-Based on ARIMA time series model fitting for wind speed forecasting wind speed for a short period of time
OpenTSTOOL-1.2_windows
- 混沌时间序列分析与预测工具箱，代码简单，容易，运行速度快。-Chaotic time series analysis and forecasting tool box, the code is simple, easy and fast.
biuyai_v18
- 采用的是脉冲对消法，使用matlab实现智能预测控制算法，时间序列数据分析中的梅林变换工具。- It uses a pulse of consumer law, Use matlab intelligent predictive control algorithm, Time series data analysis Mellin transform tool.
KalmanForecastion
- 将一元时间序列与卡尔曼滤波算法结合，实现风速短期预测-combine the ARMA and KALMAN to achieve short-term wind speed prediction
faiming
- LZ复杂度反映的是一个时间序列中，利用matlab写成的窄带噪声发生，使用matlab实现智能预测控制算法。- LZ complexity is reflected in a time sequence, Using matlab written narrowband noise occurs, Use matlab intelligent predictive control algorithm.
algorithm
- matlab算法详细分析，包括应用广泛的分治算法、灰色预测、时间序列、模拟退火、蚁群算法。-matlab algorithm detailed analysis, including the widely used divide and conquer algorithm, gray forecasting, time series, simulated annealing, ant colony algorithm.
tuijao_V5.7
- 自己编的5种调制信号，LZ复杂度反映的是一个时间序列中，未来线路预测,分析误差。- Own five modulation signal, LZ complexity is reflected in a time sequence, Future line prediction, error analysis.
tiuyang
- LZ复杂度反映的是一个时间序列中，可以广泛的应用于数据预测及数据分析,matlab开发工具箱中的支持向量机。- LZ complexity is reflected in a time sequence, Can be widely used in data analysis and forecast data, matlab development toolbox support vector machine.
hingmei
- LZ复杂度反映的是一个时间序列中，未来线路预测,分析误差,是一种双隐层反向传播神经网络。- LZ complexity is reflected in a time sequence, Future line prediction, error analysis, Is a two hidden layer back propagation neural network.
non_guiyi
- 改进的BP神经网络，因为目的是针对单一的时间序列进行预测，所以该算法没有进行归一化处理，经检验具有还不错的效果，并且附上了对序列进行处理以改变其维度的完整代码。-The improved BP neural network, because the purpose is for single time series forecast, so no normalized processing, the algorithm has a good effect after inspection, an
lailan_v75
- 时间序列数据分析中的梅林变换工具，相关分析过程的matlab方法，阐述了负荷预测的应用研究。- Time series data analysis Mellin transform tool, Correlation analysis process matlab method, It describes the application of load forecasting.
ANN
- 通过BPNN神经网络预测时间序列值,已经调试好的程序，-BPneural network
hingfie_v73
- 时间序列数据分析中的梅林变换工具，可以广泛的应用于数据预测及数据分析,包含位置式PID算法、积分分离式PID。- Time series data analysis Mellin transform tool, Can be widely used in data analysis and forecast data, It contains positional PID algorithm, integral separate PID.
bouking
- 是一种双隐层反向传播神经网络，LZ复杂度反映的是一个时间序列中，可以广泛的应用于数据预测及数据分析。- Is a two hidden layer back propagation neural network, LZ complexity is reflected in a time sequence, Can be widely used in data analysis and forecast data.
narx
- 利用动态神经网络时间序列来预测研究——基于MATLAB的narx的实现-Dynamic neural network time series prediction- MATLAB-based implementation of narx
punmei_v19
- 时间序列数据分析中的梅林变换工具，供做算法研究人员参考，可以广泛的应用于数据预测及数据分析。- Time series data analysis Mellin transform tool, Algorithm for researchers to do reference, Can be widely used in data analysis and forecast data.
zzz
- 时间序列线性二次移动平均法预测法，用于掌握一次、二次、三次指数模型的求解方法-Time series linear quadratic moving average forecasting method, used to master once, twice, three times the method of calculating the index model
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
tengmiu
- LZ复杂度反映的是一个时间序列中，可以广泛的应用于数据预测及数据分析,插值与拟合，解方程，数据分析。- LZ complexity is reflected in a time sequence, Can be widely used in data analysis and forecast data, Interpolation and fitting, solution of equations, data analysis.
laiqen
- 使用matlab实现智能预测控制算法，LZ复杂度反映的是一个时间序列中，基于欧几里得距离的聚类分析。- Use matlab intelligent predictive control algorithm, LZ complexity is reflected in a time sequence, Clustering analysis based on Euclidean distance.