资源列表
informationgain
- 昨天传的有点小BUG 今天全部改正。实现信息增益比的代码。输入为样本，及样本类-Yesterday, a little BUG pass all correct today. Realized gain ratio information code. Enter the sample, and the sample class
informationgain
- 完全的信息增益比代码，有注释。已运行。可进行信息熵，信息增益运算-Complete information gain ratio code, annotated.
My-nnet
- neural network training code in matlab
Clustering
- k-means，k-centroids聚类分析，效果展示。-k-means, k-centroids clustering algorithm analysis and display.
face-recognition-using-HMM
- 使用hmm隐马尔科夫链做人脸识别，重量级论文。非常好。 face recognition using an embedded H-face recognition using an embedded HMM
machine-learning_PCA
- 环境为winpython 32bit 2.7.5.3 p = PCA() print u"均值化后的数据集为：",p.dataset( H:\\PCA_test.txt ) print u"协方差矩阵为：",p.COV() print u"特征向量为：",p.eig_vector()[1] tt = p.pc(dim=1) print "tt:",tt print u"新的维度数据集",tt[1]- """ Principal c
BP
- bp神经网络，其主要功能是用于风功率或风速时间序列预测- The bp neural network, its main function is used for wind power or wind speed forecasting
matlab
- 根据过去近20年的交通事故数据，运用BP神经网络预测未来几年的交通事故数据。-On the basis of traffic accident data of rencent twenty years, to use artifical neural network to forecast the traffic accident data in the future.
InputMethod.12_03
- 本程序用C#开发，这是一个输入法模拟器，其中只提供了代码没有提供数据。-This procedure using C# development, which is an input method simulator, which provides only a code does not provide data.
Hand-gesture-recognition
- 这是一个用python写的手势识别的算法，是现在目标识别中非常重要的一个研究的领域-this is a code based on python, which is used for figure pose recognition
main59
- 基于MATLAB源程序的公路运量预测，利用人工神经网络及其MATLAB实现的-Based on MATLAB source of road traffic forecasting, using artificial neural network and its MATLAB implementation
MPF-vs-PHD
- 边缘粒子滤波（MPF）将状态方程中线性部分和非线性部分分别用卡尔曼滤波和粒子滤波进行估计，可以提高跟踪的精度，所以将其引入到PF-PHD滤波中，将二者接合起来，以提高PF-PHD滤波的跟踪精度。MPF-PHD滤波可以很好的提高跟踪的精度，抗干扰能力强，具有良好的鲁棒性。-Because of that MPF use KLAM and PSO to evaluate,which can achieve higher accurty.combing MPF and PF-PHD can achie