资源列表
SVM-MATLAB
- svm插件，安装在MATBLA上面，用于学习SVM分类，对于SVM分类有很大帮助！(SVM plug-in, installed on the MATBLA, is used to learn SVM classification, which is helpful for SVM classification.)
阻性下垂
- 逆变电源 重复控制 逆变电源 重复控制(invetor repeat controllor)
Diff1
- 初值为线性的扩散方程，解释物质堆积过程，形成一维堆积剖面(The diffusion equation with linear initial value explains the material accumulation process and forms a one-dimensional accumulation section)
ID3
- ID3算法是一个构建决策树的经典算法，该程序可实现数据的分类(ID3 algorithm is a classical algorithm for constructing decision tree, which can classify data)
CART
- CART又名分类回归树；主要用于数据挖掘中的数据分类；(CART, also known as classification and regression tree, is mainly used for data classification in data mining;)
sg
- 仿真已测试过，波形非常好。是双管正激电路参考的经典案例。(THAT IS THE GOOD DESIGN)
syncronization
- Symbol synchronization
BP
- BP神经网络经过训练与学习，逼近非线性函数(BP neural networks are trained and studied to approximate nonlinear functions)
apriori
- 数据挖掘Aprior的简易c++实现，通过string来表示数据集，没有采用STL set集合操作，因此实现起来简单一些，判断是否包含用到了动态规划算法中的最长公共子序列，思想是暴力求解，没有用到很高端的思想和算法。(Simple c++ data mining Aprior, said data set by the string, without the use of STL set collection operation, thus the realization is simple,
Genetic Algorithm
- 简单函数优化的遗传算法程序，遗传算法从问题解的串集开始搜索，而不是从单个解开始。这是遗传算法与传统优化算法的极大区别。传统优化算法是从单个初始值迭代求最优解的；容易误入局部最优解。遗传算法从串集开始搜索，覆盖面大，利于全局择优。(A genetic algorithm program optimized by simple functions)
格子波尔兹曼方法及其应用
- 本文介绍了格子波尔兹曼法的发展及其基本方程，以及对不同边界条件的简单叙述。(this paper introduces the development of Lattice-Boltzmann Method and it's basic equations. Besides, it also shows us some kinds of boundary conditions about it.)
simulated annealing algorithm
- 模拟退火算法的应用很广泛，可以较高的效率求解最大截问题(Max Cut Problem)、0-1背包问题(Zero One Knapsack Problem)、图着色问题(Graph Colouring Problem)、调度问题(Scheduling Problem)等等。(Simulated annealing algorithm is widely used, can be more efficient to solve the maximum Problem Cut (Max), 0-1