是学习PCA特征提取的很好的学习资料，包含位置式PID算法、积分分离式PID，GPS和INS组合导航程序，BP神经网络用于函数拟合与模式识别，是本科毕设的题目，实现串口的数据采集，利用贝叶斯原理估计混合logit模型的参数。- Is a good learning materials to learn PCA feature extraction, It contains positional PID algorithm, integral separate PID, GPS and INS navigation program, BP neural network function fitting and pattern recognition, The title of the commercial is undergraduate course you Achieve serial data acquisition, Bayesian parameter estimation principle mixed logit model.