资源列表
EM
- EM算法求解随机优化问题代码，用数值积分方法求解-EM algorithm for solving stochastic optimization problem code, using numerical integration method for solving
sinc
- 粒子群算法优化极限学习机的参数，实现SINC函数拟合-The particle swarm algorithm to optimize the parameters of the extreme learning machine, realizes the SINC function fitting
imc_elm
- 用一种新颖的前馈神经网络——极限学习机，实现非线性系统的内模控制-Using a novel feed-forward neural network- extreme learning machine, implement internal model control of nonlinear systems
svm
- 分类器，支撑向量机实现，可以计算最优平面，matlab编写-SVM classification，written in matlab
rbf
- 分类器，径向基函数实现，使用matlab,待分类函数点可自行修改。-RBF classificaiton written in matlab
perception
- 感知器实现分类器设计，对点进行分类。只可以进行线性分割。-perception classification.linear classification.
bp
- 分类器，对点进行分类，人工神经网络，使用后向传递函数,back propagation-bp classification
EMal
- 使用EM算法完成图像的分割，使用混合高斯模型，可以修改分类数。运行EM.m-Expectation Algorithm
smo.tar
- This an implementation of SMO type classifier[1]. The input file is "i_x.mat" which is the matrix form of ionoshpere data obtained from https://archive.ics.uci.edu/ml/datasets.html [1] http://www.csie.ntu.edu.tw/~cjlin/papers/quadworkset.pdf-Thi
BP-liziqun
- 这是一个神经网络粒子群混合算法的代码。用于matlab- bppso
PCA-SVM
- 利用PCA-SVM的图片降维和识别分类，并分析重建误差等的主程序-The use of PCA-SVM pictures dimensionality reduction and identification and classification, and analyze the main reconstruction error, etc.
yichuangsaunfaandyuyun_plot
- 这个是遗传算法和鱼群算法的结合，其中还出现了图像，有点用处-This is a combination of genetic algorithms and fish algorithm, which also appeared in the image, a bit useless