资源列表
PSOTools
- matlab编写的一个PSO工具箱，很实用。-PSO matlab prepared a toolbox, very practical.
Image-Retrieval
- 图像检索与恢复程序。可以用于简单的图像检索问题，识别验证码等-Image Retri and recovery procedures. It can be used for simple image retri , identification verification codes
Binary-Classification
- 此程序是实现二元分类器，为在统计学习中最基本的程序。-This program is a binary classifier for statistical learning the most basic procedures.
KNN
- 实现一个knn 分类器。 使用欧氏距离作为度量距离 使用’my_order.m’函数脚本获得某个点最近的K 个邻居 使用’my_classify.m’函数脚本获得点的类型。 给定参数k，就可以调用这两个函数完成knn 分类器功能。 -Achieve a knn classifier. Using Euclidean distance as a measure of distance using the my_order.m function scr ipt to ge
libs_BP
- 神经网络应用的一个例子，有注释简单易懂，导入数据可以直接使用-An example of neural network applications, notes easy to understand, you can import data directly
cuda_monte_carlo
- 这是论文 On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Monte Carlo Methods 的配套代码,对于了解GPU cuda并行编程有用.-This is the thesis " On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Mo
Viterbi.tar
- 用java和python两种语音实现了Viterbi算法, 例子非常容易理解.-Java and python with two phonetic realized Viterbi algorithm, the example is very easy to understand.
SVM-class
- 这是关于svm的java源代码，带训练集，和测试集-This is about svm java source code, with training set and test set
ga_bp
- 基于遗传算法优化的BP神经网络，可以作为诊断分类使用-Genetic Algorithm Optimization of BP neural network can be used as a diagnostic classification
burgaic
- 基于AR模型参数的BP神经网络模式分类，包括特征提取和神经网络训练-BP neural network model is based on the classification of AR model parameters, including feature extraction and neural network training
first_EMD_Process
- 根据黄教授与网上好友的资源改变出来的EMD程序，第一次分解过程，有助于理解EMD-According to Professor Huang with friends online resources out of EMD adaptation program, the first decomposition process, help to understand the EMD.
siliconpredictNARXwith-pca-VS-kpca
- 用PCA加动态神经网络（DNN）与KPCA加动态神经网络（DNN）做铁水含硅量预测，适用于多种时间序列预测。-the prediction of silicon content with NARX model based on PCA and DNN Vs the prediction of silicon content with NARX model based on KPCA and DNN .This method also can use to the other time serie