资源列表
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.)
DNN
- 利用python3完整实现DNN，包括前向传播和反向传播。实现一个2次函数的拟合。(Complete implementation of DNN using python3, including forward propagation and reverse propagation. Implement a quadratic function fitting.)
MATLAB
- matlab使用layrecnet实现循环神经网络rnn(Matlab uses recurrent neural network to implement recurrent neural network RNN.)
entropy
- 求解信号的香农熵和指数熵，分别从功率谱和奇异谱的角度求解(The Shannon entropy and exponential entropy of signals are obtained.)
DBN
- 深度信念网络，神经网络的一种。既可以用于非监督学习，类似于一个自编码机；也可以用于监督学习，作为分类器来使用。(Deep belief network, a kind of neural network. It can be used for unsupervised learning, similar to a self-coding machine, or supervised learning, as a classifier.)
knn
- matlab 实现鸢尾花数据集的KNN算法(Matlab implementation of KNN algorithm)
BP神经网络预测
- BP神经网络是目前较为简单的预测算法，但是需要要有足够的样本，本例使用神经网络算法，两步预测(BP neural network is a relatively simple prediction algorithm at present, but it needs enough samples. This example uses neural network algorithm and two-step prediction.)
第十章粒子群
- 对多峰搜索问题提出了一类动态微粒群算法,该算法通过变换函数将多峰问题中的所有峰变为等高峰(A kind of dynamic particle swarm optimization (DPSO) algorithm is proposed for multi-peak search problem. The algorithm transforms all the peaks in multi-peak problem into equal peaks by transforming funct
FNN
- 使用PSO和GSA融合算法，训练FNN参数，但是速度较慢，希望大家提些意见，谢谢。(Using PSO and GSA fusion algorithm to train FNN parameters, but the speed is slow. Hope you can make some comments. Thanks.)