已调制信号计算其普相关密度，实现了对10个数字音的识别程序快速扩展随机生成树算法，关于神经网络控制，利用贝叶斯原理估计混合logit模型的参数，详细画出了时域和频域的相关图，可以实现模式识别领域的数据的分类及回归，借鉴了主成分分析算法（PCA）。- Modulated signals to calculate its density Pu-related, Realization of 10 digital audio recognition program Rapid expansion of random spanning tree algorithm, On neural network control, Bayesian parameter estimation principle mixed logit model, Correlation diagram shown in detail the time domain and frequency domain, You can achieve data classification and regression pattern recognition, It draws on principal component analysis algorithm (PCA).