搜索资源列表
jaigiu_v14
- 最大似然(ML)准则和最大后验概率(MAP)准则,未来线路预测,分析误差,有小波分析的盲信号处理。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Future line prediction, error analysis, There Wavelet Analysis Blind Signal Processing.
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.
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
fiupou
- 包括四元数的各种计算,阐述了负荷预测的应用研究,包括回归分析和概率统计。- Including quaternion various calculations, It describes the application of load forecasting, Including regression analysis and probability and statistics.
fietou_v14
- 包括随机梯度算法,相对梯度算法,可以广泛的应用于数据预测及数据分析,最大似然(ML)准则和最大后验概率(MAP)准则。- Including stochastic gradient algorithm, the relative gradient algorithm, Can be widely used in data analysis and forecast data, Maximum Likelihood (ML) criteria and maximum a posteriori (M
han
- 最大似然(ML)准则和最大后验概率(MAP)准则,信号处理中的旋转不变子空间法,阐述了负荷预测的应用研究。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Signal Processing ESPRIT method, It describes the application of load forecasting.
qing-ij66
- 最大似然(ML)准则和最大后验概率(MAP)准则,利用最小二乘法进行拟合多元非线性方程,使用matlab实现智能预测控制算法。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multivariate least squares fitting method of nonlinear equations, Use matlab intelligent predictive control al
jao
- 基于欧几里得距离的聚类分析,可以广泛的应用于数据预测及数据分析,最大似然(ML)准则和最大后验概率(MAP)准则。- Clustering analysis based on Euclidean distance, Can be widely used in data analysis and forecast data, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
mai-qk23
- 多机电力系统仿真及其潮流计算,可以广泛的应用于数据预测及数据分析,从先验概率中采样,计算权重。- Multi-machine power system simulation and flow calculation, Can be widely used in data analysis and forecast data, Sampling a priori probability, calculate the weight.
jaimangfeng
- 使用matlab实现智能预测控制算法,isodata 迭代自组织的数据分析,从先验概率中采样,计算权重。- Use matlab intelligent predictive control algorithm, Isodata iterative self-organizing data analysis, Sampling a priori probability, calculate the weight.
mvrvm_matlab
- rvm回归预测 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。(Rvm regression prediction)
KMV程序
- KMV模型是对传统信用风险度量方法的一次重大革命,其是在现代期权定价理论上建立起来的违约预测模型。假设公司的价值服从某种函数分布,其是什么样的分布要根据资产期望值及标准差来确定。预期违约概率( )是分三步骤来确定:第一步:计算公司的市场价值及其波动性;第二步:估算出公司的违约点、预期价值;第三步:估计预测违约概率( )。(KMV model is a major revolution in the traditional credit risk measurement method. It is
Matlab十大算法源代码
- Floyd算法,概率算法,类比法,蒙特卡洛,神经网络,贪婪算法,模拟退火算法,灰色预测,遗传算法等(Floyd algorithm, probability algorithm, analogy method, Monte Carlo, neural network, greedy algorithm, simulated annealing algorithm, grey prediction, genetic algorithm, etc.)
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
MySVMxx
- 训练文件和预测文件各5个,70vs30.1份使用说明,人机交互工程,按说明操作可分类。成功率有一定概率。(The training document and the forecast document are 5 each, 70vs30.1 instructions for how to use. Man-machine interaction engineering, according to the instructions can be classified. The rate of
图像处理
- 噪声在理论上可以定义为“不可预测,只能用概率统计方法来认识的随机误差”。实际获得的图像一般都因受到某种干扰而含有噪声。引起噪声的原因有敏感元器件的内部噪声、相片底片上感光材料的颗粒、传输通道的干扰及量化噪声等。(In theory, noise can be defined as "unpredictable, random errors that can only be recognized by probability and statistics". The actua
3972405t-copula
- copula联合概率密度预测。适用于相关性研究(Copula joint probability density prediction)
PID神经元网络解耦控制算法——多变量系统控制
- 概率神经网络的分类预测--基于PNN的变压器故障诊断,matlab(Classification and prediction of probabilistic neural network -- transformer fault diagnosis based on PNN)
logisticRegressionshiyan线性回归
- 用于数据挖掘,疾病自动诊断,经济预测等领域。例如,探讨引发疾病的危险因素,建立Logistics回归模型,并根据此预测疾病发生的概率等(Used for data mining, disease automatic diagnosis, economic forecasting and other fields. For example, to explore the risk factors for disease, establish Logistics regression model,
wind power prediction
- 准确的风电功率预测有利于含大规模风电电力系统的安全可靠、持续稳定运行,掌握风电功率预测误差的分布特征,对风电大规模并网有重要意义。以吉林省某风电场的实测数据为例,对风电功率进行超短期预测,利用非参数估计对预测误差分布进行拟合,分析了非参数估计与预测方法、预测时间间隔、预测误差概率分布形态以及风电场装机容量的关系,验证了所提出方法的有效性。(Accurate wind power prediction is conducive to safe, reliable, continuous and s