资源列表
基于BP神经网络的色空间转换
- 本案例为基与bp神经网络对pantone色卡中RGB空间向Lab空间转换的源码，并已经调试成功输入层输出层函数与神经元个数。附加功能：直接得出各色块的Eab色差已经测试样本与预测样本的相关系数。经多次实验，相关色差在2~3之间，低于CIE认可标准：4，相关系数达到0.96以上，可以准确预测绝大多数色块，用于色彩管理建模。(This case is for color space converting(RGB Space to Lab Space) You can master how to u
lyapunov
- 文件包括非线性方程数值计算时常用的lyapunov程序，以duffing方程为例，进行程序计算，可以稍微修改，计算其他方程。(The file includes the Lyapunov program commonly used in the numerical calculation of nonlinear equations. Taking Duffing equation as an example, the program can be modified slightly to ca
非线性格兰杰因果关系代码
- 该压缩包内为非线性格兰杰因果关系检验代码，欢迎大家下载(The compression package contains the non-linear Granger causality test code, welcome to download)
Vector Control of PMSM
- 压缩包为永磁同步电机的矢量控制相关例程，相关研究者可借鉴(The compression package is a vector control routine of PMSM, which can be used for reference by related researchers)
TOPRBF
- 基于MATLAB的连续体结构拓扑优化代码，可实际检验(A topology optimization code written in Matlab)
Guassian_Fitting_Function_curve
- 此matlab代码利用求解线性方程组的方法，实现了高斯二维曲面拟合（附数学原理PDF文档）(This matlab code use the method of solving linear equations to achieve gaussian two-dimensional surface fitting)
code
- Simulates n random angles from a von Mises distribution, with preferred direction thetahat and concentration parameter kappa(Simulates n random angles from a von Mises distribution, with preferred direction thetahat and concentration parameter kapp
BLDC ZSI fuzzy zeta
- BLDC motor speed and torque control using ZETA, Z-source converter, fuzzy logic
MPCCONTORLOFPMSM
- In this study, a current model predictive controller (MPC) is designed for a permanent magnet synchronous motor (PMSM) where the speed of the motor can be regulated precisely.
人脸库代码
- 资料为基于BP基于BP神经网络的人脸识别源码（matlab），是课程设计做的一个课题，效果还不错，配备有测试显示界面，比较直观！(The data is the source code of face recognition based on BP neural network (matlab), which is a subject of curriculum design. The effect is good, equipped with test display interface, w
matlab1
- matlab平台上实现FXLMS算法的例程(The routine of FXLMS algorithm on MATLAB platform)
点云数据读取与操作
- 这是基于matlab平台实现的三维点云数据读取与显示，以及相应的操作。非常适合初学者学习，强烈推荐(This is based on the MATLAB platform to achieve the three-dimensional point cloud data reading and display, as well as the corresponding operation. Very suitable for beginners, highly recommended)