dhj

机械齿轮的参数优化，设计一直齿圆柱齿轮传动, 已知其齿数比u= 4, 小轮轴 扭矩T 1= 100N. m, 单向传动, 润滑良好, 非对称布置, 两齿 轮材料 小齿轮40Cr, 调质, 齿面硬度HB= 250~ 280, [ RH ] 1 = 630MPa, [ RF ] 1= 288MPa 大齿轮45 钢, 调质, 齿面硬度 HB= 220~ 250, [ RH ] 2= 550MPa, [ RF ] 2= 204MPa, 取载荷系 数K = 1. 28。(Parameter optimization of the mechanical gear design has been Cylindrical Gear, known gear ratio u = 4, small axle torque T 1 = 100N m, one-way transmission, well-oiled, non-symmetrical arrangement of the materials of the two gears pinion 40Cr quenched and tempered tooth surface hardness HB = 250 ~~ 280 [RH] 1 = 630 MPa [RF] 1 = 288MPa large gear 45 steel, quenched and tempered tooth surface hardness HB = 220 to 250, [RH] = 550MPa , [RF] 2 = 204MPa, to take load factor K = 1 28.)

1D Ising ising1(n,m,b,p) n - length of domain, a positive integer m - number of iterations, a positive integer b - coupling parameter / temperature, a positive scalar b = 0 -> Very high temp / low coupling b > 1 -> Very low temp / high coupling( 1D Ising ising1 (n, m, b, p) n- length of domain, a positive integer m- number of iterations, a positive integer b- coupling parameter/temperature, a positive scalar b = 0-> Very high temp/low coupling b> 1-> Very low temp/high coupling)

matlab中各种滤波器的设计，以及在matlab中需要的函数(matlab in a variety of filter design, as well as the need to function matlab)

diode clamp inverter one leg operation basic stucture implimanted in matal/simulink2010@b

anti skid control system for front wheeled drive vehicle. using carsim and matlab simulink

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

OFDM系统中用限幅法降低系统的峰值平均功率比(OFDM system limiting method used to reduce the peak-to-average power ratio)

多目标粒子群带测试函数matlab多目标粒子群带测试函数matlab多目标粒子群带测试函数matlab多目标粒子群带测试函数matlab(Multi-objective particle swarm with test function matlab)

最大似然估计分类算法的matlab实现，可以对需要分类的数据进行最大似然分类。(Classify using the maximum-likelyhood algorithm.Outputs is the Decision sufrace.)

ode problemds in mathematic