资源列表
rtrl.tar
- two Matlab functions for initializing and training a recurrent neural network -two Matlab functions for initializing and training a recurrent neural network
ReinforcementLearning
- A matlab code for a reinforment learning routing problem-A Matlab code for a reinforment learning ro uting problem
BasicPso
- 粒子群算法,希望对大家有用,粒子群算法粒子群算法-PSO, a member of the useful, PSO PSO
winbayes
- 贝叶斯学习算法分类文本。基于朴素贝叶斯分类器的文本分类的通用算法,是目前所知文本分类算法中最有效的一类-Bayesian text classification algorithm. Based on the simple Bayesian classifier of the definitive text classification algorithm, which is known text classification algorithm the most effective one c
Genetic_Programming
- Genetic Programming。GP算法在方程逼近求解上的应用。-Genetic Programming. GP approximation algorithm for solving equations in the application.
bpALGORTHM
- 神经网络的开发包,采用c++编写的,使网络资源,大家共享-neural network development kits, prepared by the use of c, network resources and share
wh_BP
- 加了动量项和域值,比较好用的bp网络算法-added value items and Victoria, better quality bp Network
c++BPxor
- 用c语言实现的bp神经网络实现异或功能,比较好用 -use the C Language bp neural network XOR functions, better quality
cCodeArtificalImmune
- 简要说明:基于c语言人工免疫源程序,附录在PDF文件中,与大家共享 -brief descr iption : Based on the c language artificial immune source, the appendix in PDF files, and share
FI565
- 内附两个源代码,其中一个源代码是识别程序的,另一个是一个矩阵类库的,所以一并附上。 ~..~因为已经保存了训练好的网络权值,所以第一次使用识别程序时,可以直接运行\\\\Release目录下的可执行文件,然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络,不过要特别注意训练样本的选择,否则可能造成识别率很低。训练样本选择的原则是,尽可能的有代表性,在训练时间不至于太长的情况下,训练样本数目尽量多。 -containing 2 source code,
javaforBPandrbf
- 用java编写的bp网络和rbf网络的源程序 JNNT由java语言写成,具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行,无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。 -with java bp prepared by the network and the networks of the source rbf JNNT by java language, cross-platform advantages ca
VCforANNcode
- 基于VC开发的一个神经网络源程序,与大家共享-development of the VC on a neural network source files, and share