Tensorflow

混沌仿真CHEN系统仿真，陈关荣老师的混沌系统。(y_e2 = c*y_h + (c - a)*(x_0+(h/2)) -(x_0+(h/2))*(z_0+(h/2));)

可以求解雷洛方程的膜厚和载荷方程，读者可以稍微修改相关参数就可以应用到自己的公式和相关数学模型中(Reynolds model to develop the film-thickness and hydrodynamic load. )

从数据样本中随机选取一本分数据，运用K2算法进行贝叶斯网络结构学习(A sub-data randomly selected the data samples, using K2 Bayesian network structure learning algorithm)

说明：  常用算法包括第一类整数阶贝塞耳函数，积分刚性方程组的吉尔方法，计算多重积分的高斯方法，快速傅利叶变换，离散随机线性系统的卡尔曼滤波，切比雪夫曲线拟合的c语言算法(failed to translate)

利用最小二乘支持向量机原理，创建了LSSVM预测模型(The principle of least squares support vector machine, created LSSVM prediction model)

用遗传算法求解主动悬架系统的例程，里面附有程序求解的数据以及图形！是个很好的例子(A Genetic Algorithm for Active Suspension System routines)

空间计量经济学常用的casetti_models、far_models、gmm_models、gwr_models、sac_models、sar_models等多种模型源代码(Multiple models of the used spatial econometrics casetti_models, far_models gmm_models gwr_models sac_models sar_models source code)

这个帖子中我想讨论的是移动窗口多项式最小二乘拟和平滑方法，粗糙惩罚方法，以及kernel平滑方法。(Posts in this discussion I think are moving window least squares polynomial fitting smoothing method, crude methods of punishment, as well as the kernel smoothing method.)

对互谱法被动测距的原理及算法各个环节进行仿真验证：加权最小二乘估计中权系数的选取；相关窗长度的选取；各频段综合方法等等。最后实现了对9000m—15000m距离的测距(Cross-spectral method for passive ranging all aspects of theory and algorithms for simulation: weighted least squares estimation of the right of the selection coefficient related to the length of the selection window an integrated approach to the various bands and so on. Finally realize the right of ranging from 9000m-15000m)

说明：  层次分析法：计算代码在8文件中最后一页上，有实例。(AHP)