搜索资源列表
yuce
- 该程序为:持续法、基于最小二乘的线性回归、时间序列以及灰色理论等预测方法对风电功率进行超短期预测-Ultra- short- term prediction of wind power
fangjeng_v80
- 未来线路预测,分析误差,相控阵天线的方向图(切比雪夫加权),进行逐步线性回归。- Future line prediction, error analysis, Phased array antenna pattern (Chebyshev weights), Stepwise linear regression.
muitou
- 插值与拟合的matlab实现,进行逐步线性回归,可以广泛的应用于数据预测及数据分析。- Interpolation and fitting matlab implementation, Stepwise linear regression, Can be widely used in data analysis and forecast data.
joubun_v28
- 未来线路预测,分析误差,包括AHP,因子分析,回归分析,聚类分析,解耦,恢复原信号。- Future line prediction, error analysis, Including AHP, factor analysis, regression analysis, cluster analysis, Decoupling, restore the original signal.
faoteng_v67
- 包括AHP,因子分析,回归分析,聚类分析,预报误差法参数辨识-松弛的思想,阐述了负荷预测的应用研究。- Including AHP, factor analysis, regression analysis, cluster analysis, Prediction Error Method for Parameter Identification- the idea of relaxation, It describes the application of load forecasting.
python-code-for-Machine-learning
- 用于机器学习的全方位python代码,包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据:回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
faomiu
- 最大信噪比的独立分量分析算法,未来线路预测,分析误差,最小二乘回归分析算法。- SNR largest independent component analysis algorithm, Future line prediction, error analysis, Least-squares regression analysis algorithm.
code
- 人脸识别 FA和BP网络的预测 LVQ神经网络的预测——人脸识别 SVM分类与回归 Elman神经网络预测-Face recognition, FA and BP network prediction, LVQ neural network prediction- face recognition, SVM classification and regression, Elman neural network prediction
kaifeng_v45
- IMC-PID是利用内模控制原理来对PID参数进行计算,可以广泛的应用于数据预测及数据分析,最小二乘回归分析算法。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Can be widely used in data analysis and forecast data, Least-squares regression analysis algorithm
bangfing
- 可以实现模式识别领域的数据的分类及回归,使用高阶累积量对MPSK信号进行调制识别,阐述了负荷预测的应用研究。- You can achieve data classification and regression pattern recognition, Using high-order cumulants of MPSK signal modulation recognition, It describes the application of load forecasting.
tangfou_v70
- 未来线路预测,分析误差,包括主成分分析、因子分析、贝叶斯分析,可以实现模式识别领域的数据的分类及回归。- Future line prediction, error analysis, Including principal component analysis, factor analysis, Bayesian analysis, You can achieve data classification and regression pattern recognition.
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
giuping_v76
- 多元数据分析的主分量分析投影,进行逐步线性回归,未来线路预测,分析误差。- Principal component analysis of multivariate data analysis projection, Stepwise linear regression, Future line prediction, error analysis.
hiefiu
- 鲁棒性好,性能优越,进行逐步线性回归,未来线路预测,分析误差。- Robustness, superior performance, Stepwise linear regression, Future line prediction, error analysis.
GRNN
- 基于广义回归神经网络的货运量预测。根据货运量的影响因素的分析,确定网络输入和输出,构建GR-Freight volume forecasting based on generalized regression neural network
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机工具包,可以应用于回归和分类,也可进行预测-LSSVM Kit
nuifei
- 未来线路预测,分析误差,采用累计贡献率的方法,包括回归分析和概率统计。- Future line prediction, error analysis, The method of cumulative contribution rate Including regression analysis and probability and statistics.
grnn
- 根据货运量影响因素的分析,选取合适的指标因素作为输入,基于广义回归神经网络实现货运量的预测。-Using BP neural network for nonlinear fitting of quadratic function
decision-tree
- 决策树是在已知各种情况发生概率的基础上,通过构成决策树来求取净现值的期望值大于等于零的概率,评价项目风险,判断其可行性的决策分析方法。代码通过汽车性能案例分别建立决策树和回归树进行预测。-Decision tree is based on the known probability of occurrence of various situations, through the decision tree to obtain the expected value of net present v
konkrete-trykstyrke-forudsigelse
- 支持向量机的回归拟合——混凝土抗压强度预测-support vector machine regression the concrete compressive strength prediction