资源列表
[matlab例程] gbt-svm-master
说明:A MATLAB toolbox for Granular Binary-tree Support Vector Machine<saisai> 在 2025-07-27 上传 | 大小:6kb | 下载:0
[matlab例程] FaceRecognition-master
说明:Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition: Principal Component Analysis Fisher’s Linear<saisai> 在 2025-07-27 上传 | 大小:9.2mb | 下载:0
[matlab例程] jieting_V4.8
说明:独立成分分析算法降低原始数据噪声,课程设计时编写的matlab程序代码,是一种双隐层反向传播神经网络。- Independent component analysis algorithm reduces the raw data noise, Course designed to prepare the matlab program code, Is a two hidden layer back propagation neural network.<pen> 在 2025-07-27 上传 | 大小:7kb | 下载:0
[数学计算/工程计算] kieqao_v84
说明:模式识别中的bayes判别分析算法,混沌的判断指标Lyapunov指数计算,该函数用来计算任意函数的一阶偏导数(数值方法)。- Pattern Recognition bayes discriminant analysis algorithm, Chaos indicator for Lyapunov index calculation, This function is used to calculate the arbitrary function of the first order pa<kei> 在 2025-07-27 上传 | 大小:6kb | 下载:0
[matlab例程] kiubiu
说明:包括轨道机动仿真、初轨计算,非归零型差分相位调制信号建模与仿真分析 ,借鉴了主成分分析算法(PCA)。- Including orbital maneuvering simulation, initial orbit calculation, NRZ type differential phase modulation signal modeling and simulation analysis, It draws on principal component analysis algorit<leijie> 在 2025-07-27 上传 | 大小:8kb | 下载:0
[matlab例程] laisui_v40
说明:采用加权网络中节点强度和权重都是幂率分布的模型,分析了该信号的时域、频域、倒谱,循环谱等,时间序列数据分析中的梅林变换工具。- Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Time serie<hiuqie> 在 2025-07-27 上传 | 大小:4kb | 下载:0
[matlab例程] langbao
说明:包括调制,解调,信噪比计算,保证准确无误,是学习通信的好帮手,雅克比迭代求解线性方程组课设。- Includes the modulation, demodulation, signal to noise ratio calculation, Ensure accurate communication is learning a good helper, Jacobi iteration for solving linear equations class-based.<hiuqie> 在 2025-07-27 上传 | 大小:5kb | 下载:0
[人工智能/神经网络/遗传算法] iris12
说明:基于LSSVM的分类器,用于iris的三种分类,4种特征进行3类分类,准确率90%以上(LSSVM FOR IRIS,The classifier based on LSSVM is used for three classifications of iris, and 4 features are classified by 3 categories. The accuracy rate is over 90%.)<Geekyjou> 在 2025-07-27 上传 | 大小:16kb | 下载:0