搜索资源列表
MuitiPointKalman
- 多点kalman跟踪，采用二阶运动模型，能同时预测对个点的运动方向，并修改自身运动参数
kriging.zip
- Kriging 内插算法 通过已知点的测量值来内插获取未知点的预测,Kriging algorithym
adpcm
- 该算法是根据自适应差分脉冲编码调制原理编写的算法，该算法利用了语音信号样点间的相关性，并针对语音信号的非平稳特点，使用了自适应预测-The algorithm is based on principles of adaptive differential pulse code modulation written algorithm, which samples the voice signal using the correlation between, and for non-station
20090816
- 自动化控制中曲线拟合的应用及研究 此文档对需要根据已知线段，或者离散点进行趋势预测很有帮助。-Automation and control applications in curve fitting and Research. This document is the need to segment the basis of known or forecast the trend of discrete points helpful.
chen
- 在非线性科学中，“混沌”这个词的含义和本意相似但又不完全一致，非线性科学中的混沌现象指的是一种确定的但不可预测的运动状态。它的外在表现和纯粹的随机运动很相似，即都不可预测。但和随机运动不同的是，混沌运动在动力学上是确定的，它的不可预测性是来源于运动的不稳定性。或者说混沌系统对无限小的初值变动和微绕也具于敏感性，无论多小的扰动在长时间以后，也会使系统彻底偏离原来的演化方向。混沌现象是自然界中的普遍现象，天气变化就是一个典型的混沌运动。混沌现象的一个著名表述就是蝴蝶效应：南美洲一只蝴蝶扇一扇翅膀，就
paper1
- 基于点割集的无线带状传感网分布式寿命预测算法.pdf-Based the cutset wireless ribbon sensor network distributed life prediction algorithm. Pdf
TimeSerial
- TimeSerial时序预测算法，基于24个历史时刻点，计算未来的趋势数据-Time Serial shi xu yu ce suan fa ji suan fang fa ti gong xue xi shi yong
LogisticRegression
- 该算法是实现二值Logistic回归算法。包含方差分析检验，回归系数，相关系数，剩余标准差，标准偏回归系数，点预测值，区间预测值。-The algorithm is to achieve binary Logistic regression algorithm. Included analysis of variance, regression coefficients, correlation coefficient, residual standard deviation, standard
Quadratic-Exponential-Smoothing
- matlab例子，用二次指数平滑法预测并绘制散点图，附有说明- matlab example, with secondary exponential smoothing forecast and draw a scatter plot
huisan_v69
- 复化三点Gauss-lengend公式求pi，阐述了负荷预测的应用研究,计算时间和二维直方图。- Complex of three-point Gauss-lengend the Formula pi, It describes the application of load forecasting, Computing time and two-dimensional histogram.
kingteng
- 鲁棒性好，性能优越，阐述了负荷预测的应用研究,表示出两帧图像间各个像素点的相对情况。- Robustness, superior performance, It describes the application of load forecasting, Between two images showing the relative circumstances of each pixel.
jaibei
- 可以广泛的应用于数据预测及数据分析,表示出两帧图像间各个像素点的相对情况，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。- Can be widely used in data analysis and forecast data, Between two images showing the relative circumstances of each pixel, PV modules contain, MPPT module, BOOST module, inverter mo
8347
- 表示出两帧图像间各个像素点的相对情况，BP神经网络的整个训练过程,可以广泛的应用于数据预测及数据分析。- Between two images showing the relative circumstances of each pixel, The entire training process BP neural network, Can be widely used in data analysis and forecast data.