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boost 电路用matlab/simulink仿真，结果正确(BOOST CONVERTER simulation on matlab/simulink)

研究电力电子整流部分相关内容可以参考，仿真时加以调试可以直接使用(The research electric power electronic rectifier related content can be part of the reference, simulation, to debug can use directly )

matlab code bp neuralnetwork xor

汽车魔术公式的轮胎simulink模型，采用adamds拟合参数(Auto magic formula of the simulink model, uses the adamds fitting parameters )

计算加权加速度,有CDF三角函数曲线/三维曲线图，基于分段非线性权重值的Pso算法，BP神经网络用于函数拟合与模式识别，gmcalab 快速广义的形态分量分析，本程序的性能已经超过其他算法，鲁棒性好，性能优越，包括主成分分析、因子分析、贝叶斯分析。( Weighted acceleration, There CDF trigonometric curve/3D graphs, Based on piecewise nonlinear weight value Pso algorithm, BP neural network function fitting and pattern recognition, gmcalab fast generalized form component analysis, This program has exceeded the performance of other algorithms, Robustness, superior performance, Including principal component analysis, factor analysis, Bayesian analysis.)

层次分析法（Analytic Hierarchy Process，简称AHP）是将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。该方法是美国运筹学家匹茨堡大学教授萨蒂于20世纪70年代初，在为美国国防部研究"根据各个工业部门对国家福利的贡献大小而进行电力分配"课题时，应用网络系统理论和多目标综合评价方法，提出的一种层次权重决策分析方法。(AHP (Analytic Hierarchy Process, referred AHP) is always the element of the decision-making related to broken down into goals, guidelines, programs and other levels, on this basis for decision-making qualitative and quantitative analysis. This method is the U.S. Operations Research Professor at the University of Pittsburgh Satie early 1970s, the U.S. Department of Defense for research, " according to various industrial sectors contribution to national welfare and power sharing" topic, application network systems theory multi-objective and comprehensive evaluation methods, the right to propose a hierarchical weight decision analysis methods.)

Filtre de Kalman, sous le logiciel matlab, pour de terminer l evolution d une trajectoire

基于matlab环境编写的用于图像匹配简单程序，适合初用者学习。(Based on the matlab environment to write for image matching simple, suitable for early user study.)

counter number one to nine after 1s

本代码是用matlab语言编写的利用遗传算法寻优求解TSP问题，遗传算法部分所有子函数均为手工编写，最后画出了仿真得到的最优路线图。(The program is written in matlab program to solve TSP problem by genetic alogrithm,and the genetic optimization part is all written by hand(not calling functions or tools).at last,I drawing the best simulating route...)