资源列表
PMS_Motor_level2eZDSPF2812
- matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor ha-matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor hall
Simulation-of-Chapter-3_on-Homepage(1)
- matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor ha-matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor hall
PMS_Motor_level1eZDSPF2812
- matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor ha-matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor hall
PMS_Motor_level4eZDSPF2812
- matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor ha-matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor hall
PMS_Motor_level3eZDSPF2812
- matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor ha-matlab source code in the drive motor pmsm new math fuzzy bldc logic control sensor hall
JavaScript-DOM-Program-Art-
- Javascr ipt Dom prigram art demo
GPS_design
- 一份gps数据库设计举例，可用于车辆gps定位 系统等等，简洁明了。-GPS design
6265
- 比较了软阈值，硬阈值及当今各种阈值计算方法,连续相位调制信号(CPM)产生，有信道编码，调制，信道估计等。- Comparison of soft threshold and hard threshold and today vario
hchaw
- 虚拟力的无线传感网络覆盖，插值与拟合，解方程，数据分析，迭代自组织数据分析。- Virtual power wireless sensor network coverage, Interpolation and fitting, solution of equations, data analysis, Iterative self-organizing data analysis.
4552
- ICA（主分量分析）算法和程序，计算加权加速度,IDW距离反比加权方法。- ICA (Principal Component Analysis) algorithm and procedures, Weighted acceleration, IDW inverse distance weighting method.
1
- 遗传算法（Genetic Algorithm，GA）是一种进化算法，其基本原理是仿效生物界中的“物竞天择、适者生存”的演化法则。遗传算法的做法是把问题参数编码为染色体，再利用迭代的方式进行选择、交叉以及变异等运算来交换种群中染色体的信息，最终生成符合优化目标的染色体。 在遗传算法中，染色体对应的是数据或数组，通常是由一维的串结构数据来表示，串上各个位置对应基因的取值。基因组成的串就是染色体，或者叫基因型个体( Individuals) 。一定数量的个体组成了群体（Population)。群
huisheyuce
- 用于灰色预测的负荷预测，非常适合数据量小的运算预测-Load forecasting used for grey prediction is very suitable for the calculation of small amount of data