hybrid_pseudo_L

已经调试成功.内含m文件，可直接运行，迭代自组织数据分析，仿真图是速度、距离、幅度三维图像。( Has been successful debugging. M contains files can be directly run, Iterative self-organizing data analysis, FIG simulation speed, distance, amplitude three-dimensional image.)

大气参数计算，含密度、湿度、粘性、热导率等(-Air parameters, density, humidity, viscosity, thermal conductivity)

采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络(Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to facilitate the training of BP network)

一个用于解决马尔可夫过程的源代码,很适合学习随机过程的同学1(a Markov process for the settlement of the source code, are very suitable for studying stochastic process a classmate)

用于最小二乘支持向量机的名为"留一法",可用于支持向量机超参数的确定.(for least squares support vector machine called "a stay", could be used to support vector machine-determined parameters.)

通过FORTRAN编写damage子程序，在板材成形中实现破裂的可视化及成形极限预测(FORTRAN subroutine written by damage to achieve rupture of visualization in sheet metal forming and forming limit prediction)

用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2017), including multi-objective evolutionary algorithm and the most common new literature in the new algorithm, can realize the performance between different methods (including the common GD, IGD, HV and other evaluation index generation). It can be used as a reference for evolutionary computation, multi-objective optimization and single objective optimization. Python language version is simple and easy to understand, practical.)

文件为C#矩阵运算类，包含了多种形式的矩阵定义，能够进行多种矩阵运算，如矩阵四则运算、求逆、转置等，十分方便用于实际开发。(File for the C# matrix operations class, contains the definition of various forms of matrix, to carry out a variety of matrix operations, such as matrix arithmetic, inversion, transpose, etc., is very convenient for actual development.)

lmmse算法的仿真实现，在相关矩阵的求解上比较有技巧性(lmmse Simulation Algorithm)

用ABAQUS及其子程序解决热冲压热力耦合问题(Subroutine with ABAQUS and hot stamping coupled thermal problem solving)