Sigmon-K.-MATLAB-Primer-(3rd-ed.-1993)(en)(34s)

Matlab实用程序 33-66是：界面设计篇(Matlab Utilities)

说明：  　本文在简要介绍了MA TLAB 和BP 网络的基 础上, 详细论述了在MA TLAB611 中, 如何利用其提供的神经网络工具箱实现BP 网络的设计, 最后给出了一个BP 网络的设计实例。 (This paper briefly introduced the MA TLAB and BP network based on the detail in the MA TLAB611, how to use its neural network toolbox provided realize the design of BP network, and finally gives a design example of BP network.)

关于AUV的深度控制的误差空间模型的控制方法的Matlab仿真，只有代码，可以自己复制粘贴到Matlab(ARIES ERROR SPACE CONTROL CODE)

introduction about Matlab, and how to write matlab code

Matlab Newton Interpolation Code

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

本算法为线性规划中用于求解最优化问题的经典算法，对于学习LP问题求解具有很大帮助(The algorithm classic algorithm for solving linear programming optimization problem of great help for learning the LP problem solving)

基于watterson信道模型的matlab程序中每个函数的源代码(Based watterson channel model matlab program source code for each function)

matlab code for modelling low pass filters

least mean square algorithm for estimation state