搜索资源列表
BP
- BP神经网络的整个训练过程（从数据剔除，平滑处理，归一化，到构建训练网络，反归一化，你拟合作图）毕设课题作业，保证可用-BP neural network the training process (removed from the data, smoothing, normalization, to build the training network, anti-normalization, you wish to cooperate diagram) subjects completed
Kalman2
- 卡尔曼滤波的的算法，采用singer模型，可以应用于目标的跟踪，数据的平滑等多方面，算法效果较好-Kalman filter algorithm, using singer model, can be applied to target tracking, data smoothing and other aspects, algorithms, better-performing
sf1847
- 数据挖掘建模工具，轻易实现BP神经网络、RBF神经网络、灰色系统、决策树、决策表、贝叶斯、懒惰算法、支持向量机、K均值聚类、Apriori关联规则、HotSpot关联规则、回归分析、指数平滑、季节移动平均及组合等算法建模。-Data mining modeling tools, easy to achieve BP neural network, RBF neural network, gray system, decision tree, decision table, Bayesian, l
mvkernelsmoothing
- 多维核平滑回归，对于存在数据点缺失或含噪声的情况，具有较好的鲁棒性。-Multi-dimensional kernel smoothing regression, data points for the existence of the case of missing or noisy, and has good robustness.
DataMining
- 实现数据挖掘中数据平滑的三种算法，另外还可以结合阈值计算离群点-Three data mining, data smoothing algorithm, also can be combined with a threshold value of outliers
kalman_csdn
- 卡尔曼滤波的代码，运行过，功能是对数据进行平滑处理-Kalman filtering code, run-off, easy to use
Computational-Linguistics
- 计算语言学PPT-常宝宝 北京大学计算语言学研究所 介绍的内容有n-gram和数据平滑、熵和语言模型评价、隐马尔可夫模型、有限状态技术和形态分析-PPT-often baby Computational Linguistics Institute of Computational Linguistics of Peking University introduced n-gram content and data smoothing, entropy and the language m
pingjuntimefre
- 针对滚动轴承全寿命周期试验数据，采用滑动平均法对原始信号平滑后求其时域特征图，可用于轴承性能退化评估的研究-Experimental data for the entire life cycle of rolling bearings, using the moving average method to study after the original time-domain signal smoothing seeking the feature map, can be used for b
matlab_smooth
- matlab中smooth函数平滑处理数据实例-matlab function in smooth smoothed data instances
RecastNavigation
- recast navigation实现基于unity的导航网格数据进行寻路,优化路径平滑算法-recast navigation realization pathfinding grid-based unity of navigation data, the optimal path smoothing algorithm
classify
- 用大数据来训练一个朴素贝叶斯分类器，并且在分类器中加入α=1的拉普拉斯平滑。-Use the data given in table to train a naive Bayes classifier and test it.Add Laplace smoothing into the classifier with α=1,and test angin.
exponential-smoothing
- 压缩包里包含2次指数平滑和3次平滑指数算法，分别用来时序数据为线性和非线性的预测-It contains two exponential smoothing and three exponential smoothing algorithms,is used to forecast linear and nonlinear timing data.
holtwinters
- 三次指数平滑法代码,用于时间序列数据的预测，调用部分还有点问题，欢迎大家指点交流学习(Prediction of holtwinters method)
MATLAB
- matlab中可用于预测的三次指数平滑法，针对有二次趋势的数据(Cubic exponential smoothing method for prediction)