资源列表
CAGA-
- 云自适应遗传算法
Neural-network-qiduanma
- 设用7个短线段构成1,2,3,4,5,6,7,8,9,10共10个数码图形，令这7个线段分别用一个矢量 来代表，又设对数码图形中用到的线段，相应分量取值为1，未用到的线段相应的分量取值为0，因此每个数码图形分别可由一个矢量表示，其顺序编号为： ，试设计一神经网络，能够区分奇数码和偶数码。-Set with seven short line segments 1, 2, 3, 4, 5, 10 digital graphics, 7 segment represented by a vector,
Neural-network-hanshunihe
- 设计并训练一神经网络使之逼近下列函数，x，y取值范围（0，3），函数精度0.02。函数为三角函数-Design and training of a neural network approximation the following functions, x, y in the range (0,3), the function accuracy 0.02. Function trigonometric functions
RANSAC
- ransac算法对特征点找到最好的模型匹配对，消除一些有缺点的误匹配-the ransac algorithm to find the best model matching feature points to eliminate some shortcomings mismatching
drtoolbox
- Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
pso-bp
- 粒子群优化的神经网络算法程序，可用于参数寻优-Particle swarm optimization neural network algorithm
yqsf
- 利用蚁群优化算法来优化阵列天线的阵源个数，达到优化天线性能的目的。-Ant colony optimization algorithm to optimize the array antenna array number of sources, to achieve the purpose of optimizing the performance of the antenna.
DMProject
- 数据挖掘经典分类算法朴素贝叶斯的C++实现，界面采用qt-The data mining classic classification algorithm the Naive Bayes C++ achieve interface using qt
SVM
- 已调的SVM多分类的MATLAB代码，包括原始数据，很好用的-Modulated SVM multi-classification MATLAB code, including raw data, well used
SVM-iris
- 在matlab环境下，实现鸢尾花数据库的SVM分类，没有使用现成的工具包。-SVM classifier in Matlab environment, iris database, do not use off-the-shelf tool kit.
MovieSite
- 实现了一个针对电影评分的推荐算法，搭建了一个简单的web系统，可以推荐用户可能感兴趣的电影。-A recommendation algorithm for the film score, to build a simple web system can recommend the user may be interested in movies.
K-mean
- K均值聚类,用于空间区域的自适应划分，用MATLAB软件来实现。-K-means clustering for adaptive division of the region of space, using MATLAB software to achieve.