资源列表
862111
- 金融时间序列中,最大命中子模式树算法,我导师编写的程序,希望给大家帮助()
18.1.EM
- EM算法代码实践，使用python实现。(EM algorithm code practice, based on Python implementation)
Untitled2
- 用遗传算法解决带有时间约束软时间窗口的VRP（旅行商）旅行商问题(Solving the VRP (traveling salesman) traveling salesman problem with time constrained soft time windows by genetic algorith)
EM Algorithm
- 通过使用EM算法来实现混合高斯的分类,有比较好的效果，很直观的可以展示，对于初学者很有帮助(Through the use of EM algorithm to achieve the classification of mixed Gaussian, have better results, very intuitive to display, helpful for beginners)
predict_Bayesian Network
- 贝叶斯网络预测篮球队胜负，使用了爬山学习算法(The Bias network predicts the winning and negative of the basketball team and uses the mountain climbing algorithm.)
nn_classification
- 使用单隐层神经网络进行二分类 使用python语言，先生成一个数据集，无法（但尝试）用logistic回归对数据集进行二分类，最后使用单隐层神经网络对数据集进行分类(classify a dataset with a 3-dimensional hidden layer)
dbn
- 本程序是用python写的一个深度学习程序，该程序基于限制性玻尔兹曼机实现了深度信念网络。(This procedure is a deep learning program written in python, the program based on the limited Boltzmann machine to achieve a depth of faith network.)
yuqun
- 人工智能鱼群算法，非常好的一个基础的代码，萨达十大沙发沙发上(Artificial intelligence fish swarm algorithm)
knn
- python语言编写的，利用KNN实现分类以及梯度下降算法。(Use kNN to classify)
pso
- 标准pso算法的MATLAB平台实现，应该可以用吧(Standard pso algorithm MATLAB platform, you should be able to use it)
kNN
- kNN金陵算法算法源文件，包括输入，过程逻辑算法，输出(Algorithm source file)
nn_CIFAR.py
- pytorch tutorial 代码 简单神经网络 数据集CIFAR(pytorch nn training sample code, Dataset: CIFAR dataset Usage: python3 nn_CIFAR.py)