资源列表
yingyongGAjiejue0-1beibaowenti
- 将贪婪修复方法与遗传算法相结合，构成混和遗传算法，并求解经典背包问题。-The greedy repair method and genetic algorithm combined to form hybrid genetic algorithm, and solve the classic knapsack problem.
duomubiaodeshequjiegoujiece
- 本文用于揭示复杂网络中社区结构的多目标遗传算法。该算法可检测具有组间稀疏连接且组内紧密联结的节点并定义了两个目标函数对检测方法进行了优化。通过仿真及现实中的实验验证，该算法可以成功的检测社区结构。-This paper presents a method for revealing the community structure of complex networks in multi-objective genetic algorithm. The algorithm can detect w
bp
- 使用BP神经网络算法对一个函数实现跟踪（如正弦函数）-The BP neural network algorithm to achieve tracking of a function (such as the sine function)
10.1.1.101.5879(1)
- it is an article about fuzzy system.
Ramezani-Fuzzy-Expert-System
- this an article about expert system.-this is an article about expert system.
science
- Design of Mamdani fuzzy logic controllers with rule base minimisation using genetic algorithm
Tennis
- 本C++程序模拟网球的计分。 网球的记分的几个层次：从小到大为分（point），局(game)，盘(set)，比赛(match)。-The C++ program to simulate the tennis scoring. Tennis scoring several levels: from small to much points (point), Office (game), plate (set), game (match).
perceptron
- 感知器算法的分类器，学模式识别的可以看看，可以实现2维向量的线性分类-Perceptron classifier algorithm, learning pattern recognition can see, you can achieve 2-dimensional vector of linear classification
KPCA
- 将核思想运用到主成分分析中，使其映射到高维空间，而计算主成分的目的是将高维数据投影到较低维空间。-Kernel Principal Component Analysis
LDA
- 基本思想是选择使得Fisher准则函数达到极值的向量作为最佳投影方向，从而使得样本在该方向上投影后，达到最大的类间离散度和最小的类内离散度。-Linear Discriminant Analysis (Generally, LDA can also use LGE as a subroutine. However, we can use the special graph structure of LDA to obtain some computational benefits.)
LGE
- 线性图嵌入方法，该方法是一种基于图框架的子空间学习方法，被用于LPP,NPE等流行学习方法中。-(Regularized) Linear Graph Embedding (Provides a general framework for graph based subspace learning. This function will be called by LPP, NPE, IsoProjection, LSDA, MMP ...)
classifier_distance
- 经典的距离分类器，采用欧氏距离作为量度，初学模式识别的同学也能看懂-The classic distance classifier, using Euclidean distance as the measure, Pattern Recognition beginner students can understand