资源列表
svm_light_by_joachims.tar
- 这个是我最近得到的支持向量机 light 的源码包。。。这个源码包主要是用作文本分类，它是由Joachims首先提出并实现。。。希望对大家有帮助！-this is what I recently obtained the support vector machine light of the source package. . . The source package is used mainly for text classification, it was first proposed by
bequeath
- 遗传算法源代码 源代码由C语言完成 请解压后使用,没有解压密码-genetic algorithm source code from C source code language Please complete decompression after use, not extracting passwords
Classify529
- vc基于bp网络的手写阵数字的识别，能识别出手写数字-vc bp network based on the number of handwritten RUF identification, the ability to recognize handwriting figures
bpbao
- 用c++编写的bp神经网络开发包，能实现函数的任意逼近-prepared with the bp neural network development kits, can achieve an arbitrary function approximation
GA_01Knap
- 用遗传算法解决背包问题，可以求最优解，也可以自己设定次数-using genetic algorithms to solve knapsack problem, the optimal solution can help, can set its own number
projet
- 一个模拟weka的系统，输入文件格式和weka的一样，实现决策树的分析以及通过数据挖掘整理规则集合，很值得新手学习-a simulation system, the importation of files and weka, the same realization of the decision tree analysis and data mining collated by the rules set, is worth learning newcomers
2006-3-15
- 脑波FFT分析程序,是分析周波数并画图的程序,用在脑波分析软件中-brainwave FFT analysis procedures, and frequency analysis of the procedures and drawing with the brainwave Analysis Software
xt123
- 模拟心跳的动画,下载后改名为XT.EXE执行解压缩-simulated heartbeat of animation, download later renamed as XT.EXE perform decompression
cj32432432
- 心脏的360度图形显示 在右下的圆上点击可看到360度的心脏图形-heart of a 360-degree display in the lower right circle click can see 360 degrees in the heart graphics
SingleNeuralNetwork
- 单输出神经网络拟合如下函数：y=sinx1+xinx2+sinx3+sinx4，变量取值范围=[2,2PI]-single-output neural network function fitting as follows : y = sinx1 xinx2 sinx3 sinx4, variable value in the range = [2,2 PI]
MultiNeuralNetwork
- 三个输出的神经元网络拟合如下函数（前面上传的文件搞错了）。 y1=x1ln(x2) + x2ln(x3)；y2=x3ln(x4) + x4ln(x5)；y3=x5ln(x6) + x6ln(x1) -three output neural network function fitting as follows (in front of uploaded files wrong). Y1 = x1ln (x2) x2ln (x3); X3ln y2 = (x4) x4ln (x5); X5ln
NoiseNeuralNetwork
- 单输出的神经元网络拟合有噪声干扰的函数：y=x1/(1+x1) + x2/(1+x2) + x3/(1+x3) + x4/(1+x4)-single output neuron network fitting a noise function : y = x / (1 x1) x2 / (1 x2) x3 / (1 x3) x / (1 x4)