模式识别工具箱

采用动量梯度下降算法训练 BP 网络。 -Gradient descent algorithm using momentum BP network training.

林智仁编写的著名的SVM代码(libsvm-2[1]-林智仁prepared by well-known SVM code (libsvm-2 [1]

英国svm编写的环境用vc++开发，有完整的源代码，一定会有帮助！

人工神经网络神经网络的程序和训练数据 解压缩后可以运行的-ANN neural network training procedures and decompress data after the run

这是有关于人工神经网络的应用主要是应用到股票价格的分析与预测-This is on the application of artificial neural network is applied to the stock price analysis and prediction

用c++实现的决策树算法，windows环境下，希望对学习数据结构和算法的朋友有所帮助。-achieve with the Decision Tree Algorithm, windows environment, and I hope to learn from data structures and algorithms friends help.

tfidf已应用于文本处理任务中。函数的输入是一个[i*j]项频率矩阵。输出是由tfidf度量计算的元素的[i*j]。

文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层 到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索 路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法 无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.

jnbc与weka的接口，包含src和bin文件-jnbc weka and the interface, and contains src paper bin

Multi-objective evolutionary algorithm - an application-Multi-objective evolutionary algorithm- an application