资源列表
1
- 神经网络感知器 C语言实现 神经网络算法基础-Perceptron neural network C language-based neural network algorithm
liziqun_Matlab
- 粒子群算法的matlab实现，自己写的，对初学者有一定帮助-good for learning
LZQYHSF
- 粒子群算法源代码,属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解。-Particle swarm algorithm source code, is a kind of evolutionary algorithm, and genetic algorithm are similar, it is also starting from the random solutions, through the iterative search for the optimal
mlclass-ex2
- 机器学习_斯坦福大学2013第二章课后作业 正在学习，作业联系可以参考-Machine learning _ Stanford University 2013 HomeworkAre learning, you can refer to the operating contact
Training-program
- 采用遗传算法训练具有7个隶属函数的FNN控制器权值的一个好用程序,读自MATLAB工具箱的神经网络理论与应用程序源代码一书。-A useful training program using genetic algorithms with seven membership function FNN controller weights, read from MATLAB toolbox neural network theory and application source code book.
Hopfield
- 这是我找到的一个应用Hopfield网络将对汉字、韩文、英文字母和标点符号进行联想记忆。在不同干扰下，训练神经网络，输出训练后的图形。-This is an application Hopfield network will I find Chinese, Korean, English letters and punctuation associative memory. Under different disturbances, training neural networks, graph
svm-ZIP
- 用svm实现数据的三分类问题，将输入的数组分成三类，并检查分类的准确率。-Svm classification achieved with three data array will enter into three categories, and check the accuracy of classification.
CAKF
- 容积卡尔曼滤波算法，可运行，与卡尔曼滤波算法比较，效果更好。-Volume Kalman filter algorithm can be run, compared with the Kalman filter algorithm, the better.
LinearRegression
- 利用numpy库实现线性回归 并且带有正则化之后的线性回归处理功能 还有用最小角回归(LARS)算法实现了lasso回归-Numpy library implements the use of linear regression and linear regression with regularization after processing algorithms as well as the minimum angle of regression (LARS) to achieve a la
EEMD-for-fault-diagnosis
- EEMD 方法用于机械故障诊断的程序，希望对学习这方面的同学和研究人员有所帮助！-EEMD method for mechanical fault diagnosis procedures in the hope of learning the students and researchers in this area to help!
knn
- k近邻分类器分类 包括PCA功能 归一化 并且带有交叉检验功能-k nearest neighbor classifiers including PCA function normalized and with cross-validation function
GMM_EM
- 高斯混合模型的EM搭建过程以及详细说明，利于初学者的学习！-EM Gaussian mixture model building process as well as detailed instructions, which will help beginners to learn!