fresnel

simplex method for matlab

主要是非线性回归程序的源代码，并加载了例子和数据，输出结果是回归模型的模型参数、误差以及假设检验的结果。(Mainly non-linear regression program' s source code, and loads of examples and data, the model output is the regression model parameters, errors, and hypothesis testing results.)

分别用理论计算和计算机模拟计算，求连续掷两颗骰子，点数之和大于6且第一次掷出的点数大于第二次掷出点数的概率。(Were used to calculate the theoretical calculations and computer simulations, seeking continuous throwing two dice, and more than six points of the first throw and the number of points is greater than the probability of the second throw points.)

HNM document to perform harmonics in noise

用一种算法 利用matlab语言来编写视频跟踪程序(An algorithm using matlab language used to write the video tracking program)

本程序用bp解决广义异或问题并提供了对输入样本的改进。(bp to solve the problem and the generalized XOR improve the input samples.)

该文献基于Matlab的光学实验仿真平台的研究分析。(Matlab-based simulation platform for optical experiments)

speech recognition matlab example daq

k程序差分进化工具箱 - DeMatMATLAB包括拥有数百个内部函数的主包和三十几种工具包。工具包又可以分为功能性工具包和学科工具包。功能工具包用来扩充MATLAB的符号计算，可视化建模仿真，文字处理及实时控制等功能。学科工具包是专业性比较强的工具包，控制工具包，信号处理工具包，通信工具包等都属于此类。(k programs differential evolution toolbox- DeMatMATLAB including internal functions with hundreds of primary packages and several 30 kits. Kits can be divided into functional disciplines toolkit and toolkit. Function tool kit used to expand the MATLAB symbolic computation, visualization, modeling and simulation, word processing, and real-time control functions. Discipline tool kit is relatively strong professional toolkit, Control Toolkit, signal processing toolkit, communications toolkit belong to this category.)

1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-objective Pareto based two-dimensional knapsack search algorithm, 11-12 immune algorithm, 13-17 particle swarm algorithm, 18 fish swarm algorithm, 19-21 simulated annealing algorithm, 22-24 ant colony algorithm, 25-27 neural network, 28 support vector machine classification, 29 support vector machine regression simulation Regression Fitting and Classification of Combination, 30 Extreme Learning Machines)