Support vector machines (5) libsvm

BP神经网络自适应步长训练算法，采用最小误差法，梯度下降法，自适应调节权值-BP neural network training anaysis, is realized by using error feed back, gradient descent applied updating of synaptic weights

很好用的一个适用程序，由Visual C＋＋编程，有收藏价值-A very good application of the procedures used by Visual C programming, have value for collection

本程序是用c语言编写的基于决策树分类方法的数据挖掘算法，它对测试集进行分类，挖掘出潜在的规则-this procedure is used to prepare the language c decision tree classification based on the data mining algorithm, which tests set for classification, tapping the potential rules

本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. -I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,

C＋＋编写的机器学习算法 Lemga is a C++ package which consists of classes for several learning models and generic algorithms for optimizing (training) the models-prepared by the machine learning algorithm Lemga C is a package which con sists of classes for several learning models an d generic algorithms for optimizing (training ) the models

判断在线签名实例-judge signed an online example

经过改进的遗传算法的VC源代码。经测试算法有效可行。-improved genetic algorithms VC source. Testing Algorithm effective.

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

这是一个解决TSP问题的遗传算法.里面有详细的介绍如何编写遗传算法,很值得参考.-This is a solution of TSP genetic algorithm. Which is described in detail how to prepare genetic algorithm, very good reference.

神经网络 MCP运算法-neural network algorithm