通过Matlab编程，以建立BP神经网络对人脸进行识别为例子，说明对BP神经网络的训练和模拟的过程。-Through Matlab programming to create BP neural network to recognize human faces as examples of the BP neural network training and simulation process.

通过matlab编程，建立了基于广义神经网络的数据预测，并通过交叉验证进行网络的训练，取得了不错的预测效果-By matlab programming，we established the data forecasting based on generalized regression neural network, and we use corss-validation to train the network,which obtains better forecasting effect.

通过MV C++的编程，从而实现SVM的训练和预测-Achieve SVM training and prediction

朴素贝叶斯机器学习，用来分类文本，matlab编程，有测试和训练两部分。-Naive Bayesian machine learning to classify text, matlab programming, testing, and training has two parts.