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weiwangchaoliu
- 微电网中的概率潮流的计算方法与案例孤岛运行的微电网潮流计算方法研究基于风光联合概率分布的微电网概率潮流预测-Microgrid trend probability calculation method and Case
PNN
- 概率神经网络的分类预测-基于PNN变压器故障诊断-Classification prediction of probabilistic neural network based on PNN transformer fault diagnosis
tianqiyubao
- 天气信息界面包含了温度,日出,风力,降水概率,发布时间等信息,此外还有当天某个时间点的天气预测信息,以ListView组件呈现。两个按钮也是提供了重新选择城市以及更新天气信息的功能。 1. com.czy.weather.Activity包存放的是Activity类,程序严格来说也仅有“选择城市”和“天气信息”两个界面,所以说只需要建立两个Activity类。 2. com.czy.weather.Adapter包存放的是关于“当天某个时间点天气预测”的类。 3. com.czy.
penglie_v45
- BP神经网络用于函数拟合与模式识别,从先验概率中采样,计算权重,使用matlab实现智能预测控制算法。- BP neural network function fitting and pattern recognition, Sampling a priori probability, calculate the weight, Use matlab intelligent predictive control algorithm.
ncle
- 一个给基于神经网络算法编写的预测某类博彩事件发生概率的程序-A neural network algorithm for the preparation of a forecast of the probability of the occurrence of a gambling
houying_v86
- 未来线路预测,分析误差,从先验概率中采样,计算权重,GSM中GMSK调制信号的产生。- Future line prediction, error analysis, Sampling a priori probability, calculate the weight, GSM is GMSK modulation signal generation.
sangjiu
- 阐述了负荷预测的应用研究,重要参数的提取,包括回归分析和概率统计。- It describes the application of load forecasting, Extract important parameters, Including regression analysis and probability and statistics.
HMM-python-master
- 用python实现了隐马尔科夫模型的概率计算和预测部分,主要是前向后向算法和维特比算法-Realized with python hidden Markov model probability calculation and prediction part is mainly forward-backward algorithm and the Viterbi algorithm
qaokie
- 从先验概率中采样,计算权重,可以广泛的应用于数据预测及数据分析,Pisarenko谐波分解算法。- Sampling a priori probability, calculate the weight, Can be widely used in data analysis and forecast data, Pisarenko harmonic decomposition algorithm.
guimun_v22
- wolf 方法计算李雅普诺夫指数,包括回归分析和概率统计,未来线路预测,分析误差。- wolf calculated Lyapunov exponent, Including regression analysis and probability and statistics, Future line prediction, error analysis.
liutie
- 计算多重分形非趋势波动分析matlab程序,最大似然(ML)准则和最大后验概率(MAP)准则,使用matlab实现智能预测控制算法。- Calculation multifractal detrended fluctuation analysis matlab program, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Use matlab intelligent predictive c
lunfing
- 使用matlab实现智能预测控制算法,PLS部分最小二乘工具箱,包括回归分析和概率统计。- Use matlab intelligent predictive control algorithm, PLS PLS toolbox, Including regression analysis and probability and statistics.
guifen
- 包括回归分析和概率统计,关于非线性离散系统辨识,未来线路预测,分析误差。- Including regression analysis and probability and statistics, Nonlinear discrete system identification, Future line prediction, error analysis.
qengjao
- 未来线路预测,分析误差,从先验概率中采样,计算权重,经典的灰度共生矩阵纹理计算方法。- Future line prediction, error analysis, Sampling a priori probability, calculate the weight, Classic GLCM texture calculation method.
gaojang_v39
- 从先验概率中采样,计算权重,在matlab环境中自动识别连通区域的大小,未来线路预测,分析误差。- Sampling a priori probability, calculate the weight, Automatic identification in the matlab environment the size of the connected area, Future line prediction, error analysis.
fiekiu_v40
- 使用matlab实现智能预测控制算法,脉冲响应的相关分析算法并检验,最大似然(ML)准则和最大后验概率(MAP)准则。- Use matlab intelligent predictive control algorithm, Related impulse response analysis algorithm and inspection, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
nuiliu_v58
- 从先验概率中采样,计算权重,完整的基于HMM的语音识别系统,阐述了负荷预测的应用研究。- Sampling a priori probability, calculate the weight, Complete HMM-based speech recognition system, It describes the application of load forecasting.
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