资源列表
somnetSIM
- 基于MATLAB语言，建立、训练、仿真som神经网络。(base on MATLAB Build, train and simulate som network.)
svm_test
- 支持向量机一个小例子,使用的例子是鸢尾花， 使用rbf核映射(a simple example of svm(support vector machine))
shujvwajue
- Apriori算法C++实现，备注见代码，读取数据文件可用，格式为多行数据。数字代表事物(Apriori algorithm C++ implementation, notes see code, read data files available, format for multi row data. Numbers represent things)
kNN
- knn分类器, 机器学习实战第二章代码，k最近邻分类，适用于低维数据的分类器(classifier (KNN algorithm))
bicycle_tf
- 使用tensorflow实现的四层神经网络，并将网络节点参数进行储存(a neural network by python)
pso-svr代码
- 基于粒子群优化的向量回归预测分析 matlab代码(Support vector regression code with pso)
tf basic
- 一个简单的tensorflow线性回归demo tensorflow版本1.4.0-GPU(A simple tensorflow linear regression demo Tensorflow version 1.4.0-GPU)
蓄电池BP训练
- 此方法用于 估算蓄电池SOC 精度较高 目前处于仿真阶段(Estimation of battery SOC)
Q_learning
- 强化学习代码，求解贝尔曼方程，用qlearning求解(Reinforcement learning code, behrman equation, using qlearning solution)
PSO_adaptation
- 改进型粒子群PSO优化算法MATLAB代码，基于权重改进速度，已封装为函数(Improved particle swarm optimization algorithm PSO MATLAB code, based on the speed of weight improvement, has been encapsulated as a function.)
prpd+svm
- 利用SVM优化算法实现变压器局部放电信号prpd模式识别及其特征提取(Prpd pattern recognition and feature extraction of partial discharge signals in transformers based on SVM optimization algorithm)
Mine_CNN_MNIST
- 深度学习的部分经典模型，tensorflow1.4，python3.5，有AlexNet，LeNet等(Part of the classic model of deep learning, tensorflow1.4, python3.5, with AlexNet, LeNet, etc.)