资源列表
logistic
- 一个在机器需欸领域非常经典的算法-逻辑回归，改实例实现了逻辑回归的功能，简单易懂，有条理，带有数据集(A very classic algorithm in the field of machine requirements - Logistic Regression, change instances to achieve the function of logistic regression, easy to understand, organized, with a data set)
kmean
- 一个学习k均值聚类的实例，代码实现了其基本原理，简单易懂，带有测试，训练数据集，可直接上手操作(A learning k-means clustering example, the code to achieve its basic principles, easy to understand, with a test, training data set can be used directly)
elm
- 一个简单移动的ELM超限学习机的小例子，实现了简单的ELM神经网络模型，并且还带有测试数据集。(A simple example of a simple moving ELM overrun learning machine)
PSO_BP
- 一个利用PSO粒子群优化算法训练BP神经网络的程序，在matlab环境中进行操作，代码简便可行。(PSO optimization neural network)
DE
- DE codes for features mutasyon seleksiyon
voronoi_3d
- ABAQUS 插件 vornoi，源码 看文件下载(A voronoi plugin for abaqus)
SVM
- 它分类的思想是，给定给一个包含正例和反例的样本集合，svm的目的是寻找一个超平面来对样本根据正例和反例进行分割。(The idea of classification is to give a sample set containing positive and negative examples. The purpose of SVM is to search for a hyperplane to segment samples based on positive and negative
单隐层BP
- 说明： BP神经网络一个简单的异或回归训练，适合入门(BP neural network A simple XOR regression training, suitable for getting started)
梯度
- 神经网络中，基于梯度下降的线性分类器，对样本进行分类(In neural networks, linear classifiers based on gradient descent.)
神经网络-退火算法
- 神经网络在python中应用，并引入退火算法(Neural network entry annealing algorithm in Python)
LMS算法改进
- Python神经网络-LMS算法改进-降低误差率(Improvement of -LMS algorithm for Python neural network)
神经网络-LMS
- 神经网络的python实现---LMS算法(Python implementation of ---LMS algorithm for neural networks)