资源列表
svmfor SMO
- 一个很好支持向量机软件MYSVM,采用好的算法-a good SVM software MYSVM using good algorithm!
SVM(Steve Gunn)
- 一个很好支持向量几软件,STEVE写的,很著名,采用好的算法-a few good support vector software STEVE written in the very famous use of a good algorithm!
my遗传算法
- 该算法实现了神经网络的遗传算法,从简单的角度出发,说明的算法-the algorithm to achieve a neural network genetic algorithm, from the simple point of view that the algorithm
gaByVB
- 遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法,它借 用了生物遗传学的观点,通过自然选择、遗传、变异等作用机制,实现各个个体的适应性 的提高。-genetic algorithm (Genetic Algorithm, GA) is developed in recent years a new global optimization algorithm, it borrows from the biological point of vi
Hop
- 用神经元模拟磁旋,用连接权模拟磁场中磁旋的相互作用,用各神经元的激活、抑制这两种状态,模拟磁旋的上下两个方向。 构成一个具有记忆功能的NN,并用计算能量函数,来评价和指导整个网络的记忆功能。 -using simulated neurons magnetic spins, and connecting with the right analog magnetic rotary magnetic field interaction with the activation of neuron
ProSOM
- SOM的学习规则有三个主要阶段: 1)寻找与输入模式xk最接近的连接权向量Wj*=(wj*1, wj*2,….., wj*N) 2)将该连接权向量Wj*进一步朝向与输入模式xk接近的方向调整 3)除调整连接权向量Wj*外,还调整邻域内的各个连接权向量,并随着学习次数的增加,逐渐缩小邻域范围-SOM learning rules are three main stages : 1) Find the input mode xk closest to the connection wei
bpsf
- 该程序运用MATLABL编程,建立了一个BP网络,并进行了测试-MATLABL use of the programming process, the establishment of a BP network, and the test
遗传算法vc
- 遗传算法是基于生物学的一种新型算法,本例题中采用vc来实现该算法-genetic algorithm is based on the biology of a new algorithm, using the example vc to the algorithm
神经网络bp类c++
- 该程序是BP神经网络算法C++类定义及其说明;经过调试。可用有效工具。对于机器人开发非常好。-BP neural network algorithm definition and category C; After debugging. Effective tools available. For robot development is very good.
smoClassify
- 绝对经典的smo分类源代码,1998年Platt提出的分解算法 经过测试,绝对可用。-absolute classic smo classification source code, 1998 Platt of decomposition algorithm tested and absolutely available.
SMOLearn
- 同样经典的由PLATT提出的SMO学习算法.C++语言实现.好用呢-same classic by the SMO PLATT learning algorithm. C language. Easy?
TinySvmTest
- 用于汉字识别和分类的支持向量机SVMTEST测试算法,很好用啊-for Chinese character recognition and classification of SVM SVMTEST test algorithm is useful ah