资源列表
Regression
- 用python及matplotlib实现的回归分析-Regression methodology
APEN
- 该程序用于计算多种生理信号的非线性特征近似熵，对于解决提取特征提供了便利-The program is used to calculate a variety of physiological signal of the nonlinear characteristic of approximate entropy, to solve the extracted features convenience,,,,
fit-pso
- 带fitness的粒子群算法，希望为研究pso的人们提供一个功能较为完备、简单易学的标准版本，-PSO algorithm with fitness is provided people who want to study PSO a more complete, easy standard version,
gps_kalman_zsy
- GPS卡尔曼自适应滤波算法，对广大研究者有帮助。-GPS Calman adaptive filtering algorithm for the majority of researchers have helped.
bbo
- D Simon的生物地理学优化算法，内亦包含相同环境下的其他优化算法，如粒子群算法、差分进化等，且含有标准测试函数-D Simon s biogeography optimization algorithm, also contain other optimization algorithms within the same environment, such as particle swarm optimization, differential evolution, etc., and co
NSGA-II2
- 基于非支配选择的遗传算法（NSGA-II），可用于求解多目标问题，并给出给定数目的帕累托前沿-Based on the non-dominant selection genetic algorithm (NSGA-II), can be used to solve the multi-objective questions and a given number of Pareto frontier
fds70
- gabor+神经网络实现人脸检测；可能会提示缺少data文件夹，自己在根目录下建一个就好了-gabor+ neural network face detection may be prompted to missing data folder in the root directory of built himself a nice
genetic-algorithm
- 一个基于matlab的遗传算法的编程实例。采用遗传算法求解最优解。-Matlab programming examples based on genetic algorithms. Genetic algorithm for optimal solution.
facerecognition
- 这是最经典的Eigenface人脸识别算法，适合刚入门的学习者。-Eigenface face recognition algorithm.
bookofnn
- 神经网络理论与MATLAB 7 实现 书中案例-the case of the book Neural network theory and implementation
siliconpredictNARXwith-pca-VS-kpca
- 用PCA加动态神经网络（DNN）与KPCA加动态神经网络（DNN）做铁水含硅量预测，适用于多种时间序列预测。-the prediction of silicon content with NARX model based on PCA and DNN Vs the prediction of silicon content with NARX model based on KPCA and DNN .This method also can use to the other time serie
first_EMD_Process
- 根据黄教授与网上好友的资源改变出来的EMD程序，第一次分解过程，有助于理解EMD-According to Professor Huang with friends online resources out of EMD adaptation program, the first decomposition process, help to understand the EMD.