bfstree

说明：  用MA TLAB 语言及MA TLAB 语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比 较灵活、编程效率高等特点. 本文对遗传算法和基于MA TLAB 的遗传算法优化工具箱(GAO T ) 作了简要的介 绍、分析了优化工具函数, 并结合非线性、多峰值函数问题的优化实例, 说明了遗传算法是一种具有良好的全局 寻优性能的优化方法.(MA TLAB with language and language of the MA TLAB optimization toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency. In this paper, genetic algorithm and MA TLAB based on genetic algorithm optimization toolbox (GAO T ) gave a brief introduction, an analysis of function optimization tool, combined with non-linear, multimodal function optimization problem examples to illustrate the genetic algorithm is a good global optimization method to optimize performance.)

xpc环境下pwm波形的输入，用来搭建半实物仿真平台。(the input of PWM in xpc ,it is used in hard in loop.)

相位梯度法自聚焦，用来处理仿真点目标数据(Autofocus phase gradient method for processing simulation data point target)

用matlab计算脉冲在光纤中传输的薛定谔方程。(Calculated using matlab pulse in optical fiber transmission Schrö dinger equation.)

关于matlab中模糊神经网络中关于故障诊断的程序(About the fuzzy neural network matlab procedures for troubleshooting)

经典粒子群算法的matlab实现代码。用函数进行测试实验，并给出算法寻优迭代的效果图(Classical PSO algorithm matlab. Experiments with test functions, and gives an iterative optimization algorithm renderings)

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

格子Boltzmann方法，D2Q9模型，模拟多孔介质流动(Lattice Boltzmann method, D2Q9 model to simulate the flow in porous media)

说明：  验证中心极限定理，即将若干个不相关随机变量相加(Verify the central limit theorem, not related to the forthcoming number of the sum of random variables)

使用matlab确定迭代搜索区间,与进退法稍有不同(use matlab for search bound)