资源列表
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.)
network
- 卷积神经网络函数，用于数据预测，分类以及识别(Convolution neural network functions for data prediction, classification and identification)
NaiveBayes
- 机器学习入门经典算法中的朴素贝叶斯算法，python3.6，编译通过可运行。(Naive Bayes algorithm in machine learning classic algorithm)
EMD-Hilbert
- 轴承故障诊断中振动信号EMD分解和Hilbert包络(EMD Decomposition and Hilbert Envelope of Vibration Signal in Bearing Fault Diagnosis)
DTLZ_PF_Generator
- DTLZ测试函数生成真实Pareto前端(DTLZ test function to generate true Pareto front)
fuheyuce
- 基于BP神经网络的电力系统日负荷预测，模型采用24个输入，24个输出，训练次数为10000，训练目标为0.5，学习速率设置为0.1。(Load forecasting based on BP neural network, the model uses 24 inputs, 24 outputs, the number of training is 10000, the training target is 0.5, the learning rate is set to 0.1.)