资源列表
Perceptron
- 本实验的目的是学习和掌握两种感知器算法：批处理感知器算法和批处理裕量松弛 算法。感知器算法是通过学习两类已标记的样本，建立一个线性分类器。学习的过程就是求解感知器权系数的过程，人们通过建立一个准则函数J(a),将求解感知器权系数的问题简化为一个标量函数J(a)的极小化问题，即当a为解向量时，J(a)最小。而极小化问题常用梯度下降法来解决。本实验给出了基于梯度下降法的两种感知器算法，介绍了原理并编程实现，最后对两种算法的特点加以比较分析。-The purpose of this study i
lungui
- 利用最小二乘法进行拟合多元非线性方程，可实现对二维数据的聚类，STM32制作的MP3的全部资料。- Multivariate least squares fitting method of nonlinear equations, Can realize the two-dimensional data clustering, STM32 all the information produced by the MP3.
meiyai_v63
- 基于掌纹识别的在线身份验证 识别算法本科毕设，重要参数的提取，MIMO OFDM matlab仿真。- Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Extract important parameters, MIMO OFDM matlab simulation.
shell
- 板壳理论解析解matlab实例，包括莱维方法、纳维方法-The analytical solution of shell theory MATLAB examples, including Levi method, Navier method
statcom-non-linear-load
- STATCOM在非线性负载的传输线的改进 所需 MATLAB版本MATLAB 7.10-improvement non linear load in tranmission line Required Products MATLAB MATLAB release MATLAB 7.10 (R2010a)
biufie
- 包括面积、周长、矩形度、伸长度，分数阶傅里叶变换计算方面,wolf 方法计算李雅普诺夫指数。- Including the area, perimeter, rectangular, elongation, Fractional Fourier transform computing, wolf calculated Lyapunov exponent.
Loss_SMAC
- 用MATLAB软件仿真S-MAC的LO-The simulation of S-MAC LOSS using MATLAB software
GA-LQG
- 基于遗传算法的LQG优化实例，对学习lqg和遗传算法结合有很好的帮助。-Based on Genetic Algorithm optimization LQG instance, to learn lqg Genetic Algorithm and have a good help.
kantao_V6.2
- 小波包分析提取振动信号中的特征频率，处理信号的时频分析，matlab程序运行时导入数据文件作为输入参数。- Wavelet packet analysis to extract vibration signal characteristic frequency, When processing a signal frequency analysis, Import data files as input parameters matlab program is running.
feixianxing4
- 通过仿真实验，掌握逆推法,希望大家有用-Through simulation, control backstepping method, I hope everyone useful! ! !
ysw1
- 基于罚函数的粒子群算法的函数寻优，汽车动力传动系统参数优化设计-Based on Particle Swarm penalty function function optimization, parameter optimization design of automobile powertrain
PID_OPT
- fiminunc、GA、PSO三种算法优化PID参数-fiminunc, GA, PSO three algorithms to optimize PID parameters