fuzzy_manupulator

面向事件的计算机模拟技术，理发店系统的模拟仿真的matlab仿真程序。(Event-oriented computer simulation technology, barber shop system simulation of MATLAB simulation program.)

局部最小距离分类器，性能高于knn分类器，matlab环境下，可直接调用(Local minimum distance classifier, classifier performance than knn, matlab environment, can be called directly)

these files perform digital modulation and demodulation, and provide scatter plots

resolution de l equation NLSE avec l efet de Raman

说明：  首先确定被评价对象的因素（指标）集和评价（等级）集；再分别确定各个因素的权重及它们的隶属度向量，获得模糊评判矩阵；最后把模糊评判矩阵与因素的权向量进行模糊运算并进行归一化，得到模糊综合评价结果(Firstly, the factor (index) set and the evaluation (grade) set of the evaluated object are determined; then the weight of each factor and their membership degree vectors are determined separately, and the fuzzy evaluation matrix is obtained; finally, the fuzzy evaluation matrix and the weight vector of the factor are fuzzily calculated and normalized, and the result of the fuzzy comprehensive evaluation is obtained.)

说明：  步进式PID控制算法及仿真，PID控制是目前使用最广的控制算法，该程序为步进式PID控制算法仿真程序，matlab编程 (PID control algorithm and simulation, PID control is currently the most widely used algorithm, the Step-by-step procedures for the PID control algorithm simulation program, Matlab programming)

sigma delta modulator

It is related to image processing

灰色线性组合模型算法，可以实现该算法的建模，拟合以及预测(Grey linear combination model algorithm, the algorithm can be implemented for modeling, fitting and forecasting)

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)