资源列表
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.)
Genetic_Algotithm
- 用遗传算法求y=x*sin(10*pi*x)+2的最大值 -1=<x<=2 精确到6位小数 pow(2,21)<3*1000000<pow(2,22) 编码的二进制长度为22 (Using genetic algorithms seek y = x* sin (10* pi* x)+2 maximum-1 = <x<=2)
模糊神经网络 边坡
- 一类模糊神经网络用于边坡分类预测，注释详细，内容丰富(A kind of fuzzy neural network is used for slope classification prediction, with detailed annotations and rich content.)
confusion_matrix1
- 只有一个文件，调用函数即可生成混淆矩阵，参数可在文件中更改(Call the function to generate a confusion matrix, parameters can be changed in the file)
tbtained-numerical
- 用数值方法来求解雅克比矩阵的迭代过程,并且有仿真结果(The iterative process of Jacobian matrix is solved by numerical method, and the simulation results are obtained.)
tick
- 采用卡尔曼滤波的方法对两只股票走势相近的股票进行预测，进行低买高卖的操作，从中获利。(Kalman filter method is used to predict two stocks with similar trend, and the operation of buying low and selling high is carried out to profit from it.)
python_work
- 用tensorflow设计以三层的神经网络进行曲线拟合，采用梯度下降法。(Tensorflow is used to design three layers of neural network for curve fitting and gradient descent method.)