Masterofpsychologicalinsight

多目标线性规划的编程方法，算法指导,值得参考，很好用(Programming method for multi-objective linear programming algorithm guidance)

Matlab 基础及入门、字符串元胞特殊数组、数值数组及其运算数值计算、符号计算等 (Matlab basic knowledge、array and sympol caculation)

RBF Classification And Approximation in Matlab

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matlab三维点云重建网格建立实例编程教程，对反求的很有用(Matlab 3 d point clouds reconstruction grid establish instance programming tutorial, the reverse is very useful )

LNBH25/26 SW control guideline. SW driver for STV0910 and STV0913 NIM.

基于C的Matlab函数功能扩充组合代码(Based on the C to expand the portfolio of Matlab Function code)

ISAR成像的数据和源程序，非常重要！！(ISAR imaging data and the source is very important! !)

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)

GRNN的数据预测-基于广义回归神经网络货运量预测(GRNN the data to predict- based on generalized regression neural network cargo forecasts)